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Generative AI Automation: Transforming Productivity, Efficiency, and Operational Excellence

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GenAI Automation

In recent years, we have seen a stunning technological shift fueled by Artificial Intelligence (AI). These innovations are having a significant influence on sectors and are gradually transforming how people live, work, and interact. Whether it’s integrating AI-powered virtual assistants into everyday activities or optimizing complicated corporate processes, AI has shown to be a tremendous driver for change.

As AI evolves, it is no longer limited to traditional rule-based systems. Instead, the attention is shifting to generative AI, a rapidly growing subfield of AI. Generative AI distinguishes itself by being able to invent, innovate, and overcome problems on its own, rather than just obeying predetermined rules.

This leads us to the critical role that generative AI plays in automation. This aspect of AI holds the potential to alter industries and push the frontiers of human-machine interaction. This technology benefits enterprises in a variety of industries, including marketing, customer service, data analysis, and product creation, by opening up previously imagined opportunities and efficiency. Generative AI for automation is set to play a key role in the continuing technological revolution.

This blog delves deeply into the field of generative AI automation, examining its possibilities, problems, and ethical implications. From comprehending the core concepts of generative AI to evaluating its applications across sectors, this blog sheds light on the technology’s disruptive potential.

What is Generative AI?

Generative AI is a subfield of artificial intelligence that focuses on creating new and unique material, concepts, or solutions that closely mirror those produced by humans. It goes beyond typical AI algorithms that focus largely on categorization or prediction. It entails training models to recognize patterns and structures in existing data and then applying that knowledge to produce new, unique results.

Overview of Generative AI Automation

Generative AI automation is the use of generative AI models to automate various operations and processes, hence increasing efficiency and productivity for enterprises across sectors. This method blends the ability of generative AI, which can generate unique material, with automation approaches, allowing computers to complete tasks independently.

How Will Generative AI Affect Automation?

Natural language is going to develop as the next automation language.

Citizen developers may streamline manual operations with low-code platforms, such as most RPA systems.

Citizen developers may use generative AI to design automated solutions. For example, the following description may be transformed into an automated solution:

  • Get email addresses from the Suppliers table in PostgreSQL.
  • Send these emails to a provider that can extract data from PDF files.
  • Deploy extracted data into the ERP System.

Additional operations will be automated

Operations that were not viable to automate before will be able to automate owing to generative AI features such as

  • Text comprehension abilities
  • Creating text, images, or other data.

GenAI Solutions

Benefits of Generative AI Automation

Because of the characteristics discussed above, generative AI will allow for more automation. As a result, businesses will see more automation-related benefits, such as:

  • Increased Efficiency and Productivity: Generative AI automation may drastically accelerate processes and shorten the time necessary for tasks like content generating, design creation, and data analysis. This enhanced efficiency boosts production and allows organizations to do more in less time.
  • Cost Savings: By automating procedures that would normally require human intervention, businesses may save labor expenses and move resources to more important activities. Generative AI automation eliminates the need for human labor, resulting in long-term cost advantages.
  • Consistency and Quality: Generative AI models can consistently provide high-quality results without any discrepancies or mistakes that can arise in human approaches. This enables greater precision as well as accuracy, which is especially crucial in jobs such as design creation and data analysis.
  • Scalability: Generative AI automation enables firms to grow their processes while maintaining quality. Automation can efficiently manage vast tasks, such as creating hundreds of product descriptions, designing logo variants, and analyzing massive datasets.
  • Creativity and Innovation: Generative AI automation may boost innovation and creativity by producing new ideas, concepts, and solutions. It may bring fresh insights, explore undiscovered territory, and encourage human creativity by enhancing human skills.
  • Streamlined Processes and Fewer Bottlenecks: Automating monotonous and time-consuming procedures allows employees to concentrate on better planning and value-added activities. This improves process efficiency, reduces bottlenecks, and enables teams to better deploy their time and expertise.
  • Enhanced Decision-Making: Generative AI automation can help with the process of decision-making by offering data-driven insights, simulations, or projections. It is capable of analyzing complicated datasets and producing important information that enables organizations to make educated decisions.
  • Personalization and Customer Engagement: Generative AI automation allows organizations to develop personalized content, designs, and suggestions based on individual consumer preferences. This level of customization increases consumer engagement, contentment, and loyalty.

Applications of Generative AI Automation

Applications of Generative AI Automation

Generative AI automation offers a wide variety of applications in many sectors. Here are a few important domains where generative AI automation is useful:

1. Content Generation

Content creation is an important part of marketing and communication for organizations across sectors. Traditionally, developing content such as articles, product descriptions, social media postings, or marketing campaigns needed a significant amount of effort as well as time from human content writers. However, generative AI automation has altered this process by allowing for the automatic development of material that is creative, relevant, and scalable.

Generative AI uses advanced machine learning algorithms and natural language processing applications to comprehend patterns, structures, and semantic links within a dataset. By training on massive volumes of text data, generative AI models understand the fundamental distribution and may produce new content that matches the training data’s patterns and features. 

2. Design and Creativity

Generative AI automation improves design and creativity by giving AI-assisted tools for quick ideation and prototyping, allowing designers to spend more time on experimentation and discovery, eventually encouraging an atmosphere of creative exploration. GenAI can help with product design, graphic design, user interface design, architecture, and more. The emergence of generative AI has introduced a powerful tool for automating and enhancing the design process. This technology enables designers to push the boundaries of creativity and create groundbreaking designs, therefore increasing the total creative potential. One of the most significant benefits of generative AI automation in design is the ability to explore design options. Generative AI models may develop fresh and distinctive designs that deviate from typical design methodologies by training on a variety of datasets and principles. This pushes designers to consider ideas outside the box, experiment with unique concepts, and push the limits of creativity.

In addition to extending the design area, generative AI automation allows for quick iteration and variety. Designers may rapidly create several design possibilities and variants depending on certain characteristics or design objectives. This allows them to examine many options, improve on concepts, and perfect designs more quickly than old manual techniques. The rapidity and flexibility of generative AI automation expedite the design process, helping designers meet tight deadlines and dynamically changing design trends.

Related: Generative AI in Automotive Industry

3. Art and Media

Generative AI automation has transformed the art and media sectors, providing artists and creatives with innovative resources to push the boundaries of creativity. Generative AI models may generate unique and engaging artworks by acquiring knowledge from large databases of old pieces and producing new compositions influenced by various creative approaches. This not only acts as a source of inspiration for artists, but it also allows for cooperation between human creativity and AI-generated aspects, resulting in revolutionary artistic expression.

Additionally, generative AI automation expands into music creation, permitting musicians to use AI-generated compositions as a foundation for their own musical creations. In video editing and visual effects, generative AI may automate scene segmentation and object-tracking activities, increasing post-production workflow effectiveness and allowing producers to focus on more creative decisions.

Furthermore, generative AI adds to the field of AR and VR by creating virtual objects and surroundings, enhancing users’ complete immersion in gaming, entertainment, and education applications. By offering fresh sources of inspiration, promoting experimentation, and fostering cooperation, generative AI automation allows artists and creatives to push the frontiers of artistic discovery and produce fascinating art and media material that captures and engages audiences in unexpected ways.

4. Personalization and Suggestions

Generative AI has a tremendous impact on customization and recommendation systems, changing how organizations provide individualized products, services, and information to individual consumers. Generative AI models may obtain extensive knowledge of user preferences, behavior patterns, and interests by employing complex algorithms and analyzing massive volumes of user data. This abundance of data annotation enables businesses to produce personalized suggestions that are tailored to the specific requirements and preferences of each user.

Businesses may employ generative AI automation to deliver highly relevant recommendations system based on AI and unique user profiles, rather than generic ones. Generative AI can record nuanced user preferences and produce tailored suggestions, such as proposing things based on prior purchases, movies based on viewing history, or articles based on reading interests.

5. Virtual and Augmented Reality

In virtual reality, generative AI automation may help create lifelike and compelling virtual worlds. Generative AI models may build synthetic scenarios that mirror real-world places or simulate imaginative settings after training on massive databases of real-world pictures. These created virtual worlds may be used in a variety of applications, including gaming, simulations, training, and virtual tours, to provide users with deep and interactive experiences that seem extremely genuine.

Moreover, generative AI automation allows for the creation of 3D models and objects that may be incorporated into virtual and augmented reality environments. By examining existing 3D models or photos, generative AI models may learn the fundamental structures, forms, and textures, permitting them to build new 3D models that match particular requirements and design objectives. This simplifies the process of developing virtual objects and assets, allowing developers to focus on more creative decisions and increasing the productivity of content production for VR/AR apps.

6. Data Augmentation

Generative AI provides a powerful option for data augmentation, an approach that improves machine learning models by creating synthetic data to complement current datasets. In many circumstances, machine learning models need a big and diverse dataset to discover patterns and produce reliable predictions. However, getting such datasets might be difficult due to restricted availability or disparities in class distributions.

Generative AI automation tackles this issue by using powerful algorithms to produce synthetic data that closely reflects the properties of the original dataset. By studying current data and understanding its fundamental patterns, generative AI models may produce new data points that represent the variances and complexities seen in the original dataset. This procedure increases the dataset by adding more training instances and introducing variables that could enhance the accuracy and generalization of machine learning models.

Read Blog Post: AI Use Cases and Applications in Key Industries

7. Simulation and Scenario Generation

Generative AI automation is critical in simulation and scenario production because it allows for the synthesis of synthetic data that is very similar to real-world data. This feature has several uses, including robotics, autonomous cars, and game creation, where creating realistic data is critical for training and testing complicated algorithms.

In the field of robotics, generative AI automation may create simulated settings and situations that closely resemble real-world conditions. This feature allows scientists and technicians to thoroughly test and validate robotic systems in a safe and controlled environment before deploying them in real-world circumstances.

Generative AI Automation Use Cases

Generative AI automation is revolutionizing industries across the spectrum by unlocking novel applications that redefine traditional processes. Here are some compelling use cases showcasing the versatility and transformative potential of automation with Generative AI:

  • Software Development and Code Generation: Generative AI automation simplifies software development tasks by generating code snippets, automating debugging processes, and optimizing algorithms. AI-powered coding assistants enhance developer productivity, reduce time-to-market for new applications, and enable rapid prototyping in agile software development environments.
  • Natural Language Processing and Text Generation: From chatbots and virtual assistants to language translation and summarization tools, generative AI automation transforms how we interact with textual data. Advanced natural language processing models generate human-like text, enabling applications such as automated customer support, content summarization, and multilingual communication.
  • Medical Imaging and Healthcare Diagnostics: Generative AI aids in medical imaging analysis, disease diagnosis, and treatment planning. AI algorithms interpret radiological images, detect abnormalities, and assist clinicians in making accurate diagnoses. Additionally, AI-driven predictive models optimize patient care pathways, resource allocation, and treatment outcomes.
  • Supply Chain Optimization and Demand Forecasting: Generative AI automation optimizes supply chain operations by analyzing historical data, predicting demand fluctuations, and optimizing inventory management. AI-powered forecasting models enhance supply chain resilience, reduce stockouts, and minimize carrying costs, enabling businesses to respond proactively to market dynamics and customer demands.

Read Blog: Generative AI in Supply Chain

  • Financial Modeling and Investment Strategies: In finance, generative AI automation aids in financial modeling, risk assessment, and investment portfolio optimization. AI-driven predictive analytics models forecast market trends, identify investment opportunities, and mitigate financial risks. By leveraging generative AI, financial institutions enhance decision-making processes and achieve superior investment returns.
  • Energy Optimization and Smart Grid Management: In the energy sector, generative AI automation enhances energy efficiency, grid stability, and renewable energy integration. AI algorithms optimize energy distribution, predict power demand patterns, and manage grid congestion, facilitating the transition to sustainable energy sources and reducing carbon emissions.
  • Autonomous Vehicles and Transportation Systems: Generative AI automation plays a pivotal role in the development of autonomous vehicles and intelligent transportation systems. AI-powered algorithms enable vehicle navigation, traffic prediction, and collision avoidance, advancing the safety, efficiency, and accessibility of transportation networks in urban and rural environments.
  • Environmental Monitoring and Conservation: With environmental concerns mounting, generative AI automation aids in environmental monitoring, species conservation, and habitat restoration efforts. AI-driven models analyze satellite imagery, track wildlife populations, and predict environmental changes, empowering conservationists and policymakers to make informed decisions for biodiversity preservation and ecological sustainability.
  • Precision Agriculture and Crop Management: In agriculture, generative AI automation optimizes crop yields, resource utilization, and pest management strategies. AI-driven models analyze satellite imagery, soil data, and weather patterns to optimize planting schedules, irrigation systems, and fertilizer applications, enabling farmers to increase productivity and sustainability while minimizing environmental impact.

Emerging Trends in Generative AI Automation

Emerging Trends in Generative AI Automation

As businesses continue to explore the vast potential of artificial intelligence (AI), a notable trend on the horizon is the convergence of automation with Generative AI. This synergy between automation and generative capabilities promises to redefine the way organizations operate and innovate. Here are some key emerging trends in this space.

1. Self-Learning Systems: Automation with Generative AI is evolving towards self-learning systems that can adapt and improve over time. By leveraging feedback loops and reinforcement learning techniques, these systems can continuously refine their performance and generate increasingly sophisticated outputs autonomously.

2. Contextual Understanding: One of the challenges in automation has been the lack of contextual understanding. Generative AI addresses this by enabling systems to interpret and generate content within specific contexts, leading to more accurate and relevant outcomes. For example, chatbots equipped with generative capabilities can engage in more natural and contextually relevant conversations with users.

3. Multi-Modal Generation: Generative AI automation is moving beyond text and images to support multi-modal content generation. This includes the synthesis of text, images, and audio in a cohesive manner, enabling richer and more immersive experiences. Applications range from virtual reality environments to interactive storytelling platforms.

4. Human-AI Collaboration: Rather than replacing human workers, automation with Generative AI is facilitating human-AI collaboration. These systems act as intelligent assistants, augmenting human creativity and decision-making rather than supplanting it. By seamlessly integrating with human workflows, they enhance productivity and enable new forms of collaboration.

5. Explainable AI: As AI systems become more complex, there is a growing need for transparency and interpretability. Emerging trends in automation with Generative AI focus on developing explainable AI models that can provide insights into the decision-making process. This not only enhances trust in AI systems but also enables humans to understand and validate the outputs they produce.

6. Privacy-Preserving AI: With increasing concerns about data privacy and security, there is a shift towards privacy-preserving AI techniques in generative automation. This involves developing algorithms that can generate meaningful insights without compromising sensitive information. Techniques such as federated learning and differential privacy are being applied to ensure privacy protection in AI-generated outputs.

7. Edge AI and On-Device Generation: Another emerging trend is the deployment of Generative AI models directly on edge devices, enabling real-time generation without reliance on cloud infrastructure. This approach offers benefits such as reduced latency, improved privacy, and enhanced reliability, making it particularly suitable for applications in IoT devices, autonomous vehicles, and mobile devices.

8. Responsible AI Practices: As AI technologies become more pervasive, there is a growing emphasis on responsible AI practices in generative automation. This includes considerations such as fairness, accountability, and transparency throughout the development and deployment lifecycle. By prioritizing ethical principles and societal impact, organizations can ensure that automation with Generative AI contributes positively to society.

These emerging trends underscore the dynamic and evolving nature of automation with Generative AI. By staying abreast of these developments, organizations can harness the full potential of AI-driven automation to drive innovation, efficiency, and operational excellence in the years to come.

Hire Generative AI Developers

Conclusion

Across a variety of industries, such as data analysis, product development, customer support, and content production, generative AI automation has enormous potential. It offers efficiency, scalability, and cost-effectiveness by empowering businesses to optimize workflows, boost output, and provide customized client experiences.

However, responsible use and ethical issues are crucial as generative AI develops and becomes more widely used. To secure the ethical use of AI and reduce possible hazards, it is crucial to strike the correct balance between automation and human engagement.

SoluLab, a leading generative AI development company, stands forefront to empower businesses to harness the transformative potential of Generative AI automation. With a team of highly skilled and experienced AI developers, SoluLab offers tailored solutions to drive productivity, efficiency, and operational excellence through automation. Whether it’s developing custom Generative AI algorithms, integrating AI automation into existing workflows, or providing strategic guidance on AI implementation, SoluLab delivers innovative solutions that align with clients’ unique needs and objectives. Ready to take the leap towards AI-driven innovation? Contact us today to hire AI developers and unlock the full potential of Generative AI automation for your business.

FAQs

1. How does Generative AI automation differ from traditional automation?

Generative AI automation goes beyond traditional automation by leveraging advanced algorithms to not only execute predefined tasks but also generate new content, designs, or solutions autonomously. While traditional automation follows fixed rules, Generative AI systems possess the ability to mimic human creativity and decision-making processes, leading to more adaptive and innovative outcomes.

2. What industries can benefit from Generative AI automation?

Virtually every industry stands to benefit from Generative AI automation. From marketing and design to healthcare and finance, the applications are wide-ranging. Industries such as software development, content creation, healthcare diagnostics, and supply chain management are particularly well-suited for leveraging Generative AI to enhance productivity, efficiency, and operational excellence.

3. What are the main challenges associated with adopting Generative AI automation?

While Generative AI automation offers significant benefits, it also presents challenges such as data privacy concerns, ethical implications, and algorithmic biases. Additionally, integrating AI into existing workflows requires strategic planning, employee upskilling, and organizational readiness to ensure successful implementation and long-term success.

4. How can SoluLab assist businesses in implementing Generative AI automation?

SoluLab, as an AI development company, offers comprehensive solutions to help businesses harness the power of Generative AI automation. Our team of experienced AI developers specializes in developing custom AI algorithms, integrating AI automation into existing systems, and providing strategic guidance on AI implementation. Whether you need assistance with developing AI-driven applications or navigating the complexities of AI adoption, SoluLab is here to support your journey toward operational excellence.

5. What are some emerging trends in Generative AI automation to watch out for?

Emerging trends in Generative AI automation include self-learning systems, contextual understanding, multi-modal generation, human-AI collaboration, explainable AI, privacy-preserving AI techniques, edge AI deployment, and responsible AI practices. Keeping abreast of these trends allows businesses to stay ahead of the curve and leverage the latest advancements in AI-driven automation to drive innovation and competitiveness.

Top 8 Crypto MLM Development Companies in 2026

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The emergence of cryptocurrencies has changed several businesses worldwide, including multi-level marketing (MLM). Enterprises are developing modern systems that facilitate transparent, reliable, and effective operations by fusing blockchain technology with MLM tactics. However, developing Crypto multilevel marketing software requires technological know-how, experience, and knowledge of both MLM and blockchain marketing business models.

As technology advances, crypto MLM development companies can assist in infusing cryptocurrency with MLM, creating new opportunities for client engagement and revenue generation. The global multilevel marketing market was valued at $201 billion in 2022 and is now expected to grow at a compound annual growth rate of over 6.5% from 2023 to 2030, reaching $329 billion by the end of the year.

Working with development companies is essential when launching a crypto multilevel marketing business. This blog will look at the top 8 crypto MLM development companies in 2026.

What is Crypto MLM?

Multi-level marketing (MLM) software for cryptocurrencies is a customized product made especially to make crypto MLM enterprises run more efficiently. They can use it to automate cryptocurrency payments, develop, create, and oversee multi-tiered commission structures, and monitor user activity at various network tiers. It combines MLM features that guarantee effective administration of referrals, commissions, and payouts with the advantages of blockchain technology, like decentralization, transparency, and security.

Cryptocurrency Multi-level marketing is a business strategy in which people receive compensation for both their own and their recruits’ sales. With the help of this framework, participants can establish a network of dealers who can sell and market cryptocurrencies or anything associated with them.

Members of crypto multilevel marketing companies might receive incentives through team sales, direct sales, or bonuses that are determined by the success of their downline or the new members they bring on board. Digital currencies, wallets, instructional materials, and additional services about the cryptocurrency industry are among the things that participants might sell.

How to Choose the Right Crypto MLM Company?

Crypto MLM companies provide networking and investing opportunities, but picking the correct one is essential to preventing fraud and losses. Here’s what you need to keep in mind:

1. Compliance with Regulation

A real cryptocurrency multilevel marketing enterprise needs proper registration and financial regulation compliance. This venture holds all necessary regulatory licenses from the U.S. Securities and Exchange Commission (SEC), together with the Australian Securities and Investments Commission (ASIC). Never choose organizations that function in unsupervised sectors.

2. Business Model and Transparency

Multi-level marketing businesses that maintain good reputations generate income through product sales alongside their recruitment activities. The business should demonstrate genuine blockchain capabilities by supplying trading platforms and DeFi services, as well as cryptocurrency wallets within its product line. Avoid businesses that promise the most profit from new team members since these companies normally operate similarly to Ponzi schemes.

3. Plan of Compensation

Review the payment system that exists within the company. A sustainable business model pays its members through both member sales of products and services in addition to recruitment. You should be cautious about binary and matrix plans because downline commission dependency could signify a possible pyramid scheme.

4. Founders and Leadership

Inspect the executives alongside founders who manage the business operations. Incorporated leadership of reputable initiatives can be verified independently while proving their ability to succeed within the blockchain, finance, and cryptocurrency sectors. Reject business opportunities that come from unidentified groups or people because they have a documented record of failed multilevel marketing ventures.

5. Reputation and Community

To find out public opinion in the industry, check online discussion forums, social media groups, and review websites. Reddit, Bitcointalk, and Trustpilot discussions help identify signs that money transfers take too long and if any misleading statements are made about the platform.

6. Technology and Security

A reliable crypto development company must establish a safe blockchain platform where transactions can easily be audited. Fund storage should happen in secure wallets, while smart contracts must undergo professional auditing processes.

These are all quite important for deciding the right development partner. We have followed all these factors in our checklist to frame out the list of the best Crypto MLM development companies for you.

List of Top Crypto MLM Development Companies

solulab

1. SoluLab

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Businesses may create a decentralized, automated, and trust-driven environment that eliminates fraud and guarantees tamperproof, real-time transactions by incorporating multilevel marketing and blockchain technology. Millions of entrepreneurs throughout the world have already benefited from MLM, and Blockchain technology presents even more opportunities for profitable, scalable business models. Building, implementing, and growing crypto multilevel marketing software that uses Blockchain technology for automation, security, and transparency is our area of expertise at SoluLab. We provide a customized MLM system that is curated to particular companies’ strategies, commissions, schedules, and payout methods.

White-label MLM software solutions are ready-made, feature-rich, and highly customizable, allowing you to quickly build your own branded MLM platform. Smoothly integrate cryptocurrency and wallet, facilitate safe multicurrency transactions, and guarantee quick commission settlement and payout. Add our smooth API interface for exchange, smart contracts, and payment gateway analytics tools to your cryptocurrency MLM platform to make it better.


$25 – $49


250+


2014


USA

Antier Solutions

2. Antier Solutions

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They offer white-label blockchain-based multi-level marketing software development services to assist companies in launching Bitcoin, Ethereum, and TRON MLM software, as multi-level marketing is slowly moving to digital platforms. Greater accuracy, effectiveness, and security are made possible by the complete decentralization of their multi-level marketing software solutions, which are supported by the Ethereum and TRON blockchains.

Their Ethereum and TRON smart contract MLM software, which is strengthened by an immutable smart contract, allows for automated transactions (to transfer users’ funds into their wallets with the least amount of latency) and secure estimations (of funds earned by MLM platform users) without the need for human intervention.


$25 – $49 / hr


101 – 250


2005


India

Nadcab Labs

3. Nadcab Labs

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Their amazing crypto MLM development companies enable you to market your coin through a network of referrals. Sponsors can generate an infinite number of referrals with smooth Bitcoin payments, promoting natural growth and building your company from the bottom up. By providing safe, decentralized solutions for private data like employment IDs, academic credentials, and immunization records, blockchain technology is improving digital identities. For governments, businesses, and educational institutions, its adoption improves the privacy of data, authenticity, and operational effectiveness.

White-label solutions with a focus on security and transparency are provided by Nadcab Labs, a leading crypto multilevel marketing software development company. Their MLM software guarantees smooth interaction with decentralized MLM platforms, providing dependable and secure services. They also offer personalized MLM software that complements blockchain technology for a safe future.


$50 – $99 / hr


10 – 49


2015


India

Technoloader

4. Technoloader

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Technoloader is one of the leading crypto multilevel marketing development companies. It is well-known for providing creative and effective solutions to cryptocurrency companies all over the world. Their group of developers has years of experience and knowledge of MLM systems and blockchain technology, and they create specialized software that is feature-rich, scalable, and safe. They offer multi-level marketing software that supports unilevel, binary, and matrix compensation systems, among others.

They even incorporate modern security measures that guarantee transparency and data protection, such as encryption, two-factor authentication, and smart contracts. This company stands out in the industry because of its commitment to quality, innovation, and customer happiness, regardless of whether You Are Beginning a new project or improving your current platform.


$25 – $49 / hr


50 – 249


2018


India

Coin Developer India

5. Coin Developer India

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Coin Developer India is among the top cryptocurrency multilevel marketing development companies for 2026. They have years of experience with Blockchain technology and provide end-to-end development services for MLM platforms based on the various demands of companies. Their area of expertise is developing adaptable MLM software that accommodates several pace schemes, such as hybrid, binary, and matrix. Advanced features like multilevel, user dashboard, Real-time, statistics, and secure wallets are all included in their design platforms.

Both administrators and users will have a seamless experience with their services. Their emphasis on security is what makes them stand out. Strong security measures are built into its software to save user information and transactions. To keep its clients ahead of the competition, it also offers regular upgrades and 24/7 available technical assistance.


NA


10 – 49


2017


India

Taksh IT Solutions

6. Taksh IT Solutions

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Taksh IT Solutions is yet another top crypto multilevel marketing (MLM) development company. They provide dependable services to businesses and are enthusiastic about achieving success in the highly competitive MLM industry. They specialize in providing MLM software that includes features such as individualized, compensation, packages, automated payout, and save-all systems, all of which contribute to the smooth running of MLM networks. What sets them apart from the competition is the fact that they take a client approach, which guarantees that each platform is adapted to meet the particular requirements of the company.

The latest technologies that are incorporated into the development process, make it possible to easily monitor the activities of users, generate reports in their time, and manage many levels of users The latest technologies that are incorporated into the development process, make it possible to easily monitor the activities of users, to generate reports in their time, and to manage many levels of users.


$25 – $49 / hr


10 – 49


2021


India

SAG IPL

7. SAG IPL

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When it comes to the crypto MLM development sector, SAG IPL is a name that is trusted. In the commercial world, they provide solutions that are sturdy and packed with features. Because they have been operating in this sector for 14 years, they have established a solid reputation for their proficiency in crypto MLM development and blockchain technology. They incorporate modern connectivity that is safe payment gateways to ensure users will continue to trust them in the long run.

The commitment to quality continues beyond the development phase, as they also provide assistance, updates, and maintenance after the product has been launched. As of this, they are an excellent option for companies that are actively searching for crypto MLM services that are dependable and trustworthy.


$25 – $49 / hr


50 – 200


2010


India

OG Software Solutions

8. OG Software Solutions

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The all-inclusive solutions for Crypto integration with Multi-Level Marketing (MLM) approaches can be accessed through OG Software Solutions. The platform applies blockchain technology to develop secure payment systems that enhance user network management together with payment tracking functions. OG Software Solutions works on developing decentralized apps (DApps) to offer multilevel marketing (MLM) platforms on peer-to-peer networks, which enhances transparency while boosting security systems.

The company has expertise in creating MLM software that uses smart contracts to operate on Ethereum and TRON blockchain networks for unalterable and automated secure processes. The company develops cryptocurrency payment gateways that allow businesses to receive multiple digital currencies through solutions that reduce transaction expenses and enable international transactions. OG Software Solutions delivers crafted crypto MLM development solutions designed to meet the security needs of multiple business clients through innovative approaches.


$25 – $49 / hr


50 – 250


2006


Malaysia

Crypto Development Services

What Does the Future of Crypto MLM Look Like?

Digital currencies are gaining increasing market popularity among consumers and businesses, which will drive the rapid expansion of cryptocurrency MLM software development over the upcoming years. MLM businesses require progressive scalable solutions to control their network and optimize user interactions as their customer base expands. Our company stands among the leading cryptocurrency MLM software development companies that supply top-notch security design and automated commission tracking alongside smart contract functionalities.

The sector’s operations are currently driven by the major trend of Decentralized Finance (DeFi) since it allows users to obtain passive income through token staking and access decentralized lending services. The combination of Artificial Intelligence (AI) and Machine Learning (ML) will enhance personalization efforts and perform pattern evaluation as well as improve marketing strategy capabilities.

New regulatory changes demand heightened importance for regulatory compliance. Our modern MLM software satisfies international standards, which enable businesses to conduct operations in a safe, lawful manner. The future of crypto MLM solutions will advance because of technical progress together with enhanced safety practices and user-friendly new features which will let businesses expand smoothly throughout the evolving cryptocurrency marketplace.

Conclusion

One of the main factors changing network marketing is the rise of cryptocurrency multilevel marketing software. In addition to increasing transaction security and transparency, it opens up new revenue streams in the cryptocurrency market.

Businesses can benefit from the knowledge and experience of experts who are familiar with MLM structures and crypto technologies by collaborating with a respectable organization. Apart from that, the right crypto development company will help you take advantage of this exciting time while also assisting you in overcoming the obstacles.

To grow in the cryptocurrency industry, collaborate with one of the crypto MLM development firms listed in the blog above! Borrowland, a blockchain-powered lending and borrowing platform, grows traditional finance by enabling users to borrow, lend, swap, and earn interest on crypto assets.

Facing challenges like high gas fees and transaction automation, SoluLab implemented solutions, including third-party authentication (Persona), secure transactions (BitGo), currency swaps, and an admin-controlled withdrawal system.

Our expertise helped Borrowland achieve a secure and scalable launch. SoluLab, a crypto development company has a team of experts who can help you fix your business issues. Contact us today to discuss this further.

FAQs

1. What is MLM?

There is a difficult accounting system that is used in multi-level marketing (MLM) in which commissions are added to the basic price of the product. Network entrepreneurs can handle the complex chores associated with running a business.

2. Why should an MLM platform be launched using a white-label solution?

The white-label multi-marketing solution can be swiftly introduced to the market and readily customized to any company’s needs. Companies are using white-label solutions for quicker deployment and also because it is an economical solution.

3. How to join an MLM?

You have the option of reading the materials provided by the multi-level marketing (MLM) organization, consulting with an advisor, and speaking with both former and current distributors to become a member of the company.

4. Why Choose SoluLab for Crypto MLM Development?

Our experienced team delivers customized, modern solutions to meet your business objectives. We focus on creation, protection, and scalability to ensure significant outcomes and long-term success with blockchain development solutions.

How Much Does it Cost to Build a SaaS Product in 2025?

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Saas Product development cost

The necessity for SaaS programming services has increased significantly as more enterprises migrate to cloud-based solutions. SaaS means Software as a Service. Because of this, SaaS is a way to distribute software that uses a third party to run applications. People from all over the world can then access the stored apps through the internet. There are some related terms in the area of cloud computing. These are IaaS (infrastructure as a service), PaaS (platform as a service), and SaaS (software as a service). Because of this, SaaS is an important part of cloud software.

According to Statista, the worldwide SaaS industry will earn around $197 billion in sales in 2023. This amount accounts for two-thirds of the total public cloud services industry revenue. So, there is no question that organizations are quickly transitioning to SaaS software development to simplify operations, enhance cooperation, and perform more cooperatively. In this instance, a SaaS development firm might be a good investment option, supporting businesses in generating new software solutions with essential features and, ultimately, providing a high ROI. Organizations that work with a certified SaaS development company may be sure that they will give excellent, scalable, and effective solutions that meet the needs of today’s businesses.

Cloud-based options are becoming more popular across many businesses, as shown by this rise. What does it cost to build a SaaS product in today’s competitive market, though, is a very important question for startups and companies that want to get into this rich market.

Creating a SaaS product can cost a lot of different amounts, depending on things like the size of the project, the features it has, and where the developers are located. To make sure that assets are in line with business goals and market standards, today in this blog, we will discuss all these cost factors when making a budget and a strategy plan.

Overview of SaaS-Based Products

SaaS, or Software as a Service, is a technique of delivering programs using the internet that removes the need for users to download and install software on their devices. This cloud-based technology, often called web-based software, hosted software, or on-demand software, offers simple usage and scalability.

When organizations subscribe to a SaaS product, they pay for access instead of ownership. After subscribing and accessing the platform, the software constantly adjusts to deliver a personalized service experience. These SaaS solutions provide several features meant to improve company operations.

Value-based pricing, competitive research, and user demand are all important considerations for organizations looking at how to price B2C SaaS products. The pricing strategy should be designed to meet the demands of customers while also assuring long-term revenue growth.

How to Start Building a Saas Product From Scratch?

Build Saas Product From Scratch

To create a SaaS solution from scratch, you’ll need technical knowledge, market research, and a solid understanding of how the SaaS business model will function. Taking a methodical approach will help you create a scalable and effective product, whether you’re launching a new Software-as-a-Service firm or transitioning from traditional software to the cloud. To begin, follow these steps:

1. Find a Need in the Market

A good SaaS product fixes a problem in the real world. Do some study on your rivals and the people you want to sell to. Find out what their problems are and how you can solve them. A market gap that has been carefully studied will help you make sure that your SaaS business model meets customer needs and offers a strong value offering.

2. List the Main Features and the Unique Value Proposition

The key features that make your SaaS product stand out are what it needs to have. Keep your attention on the features that are essential, and don’t try to build the whole thing at once. This method helps make a Minimum Viable Product (MVP) that can be tried in the market right away.

3. Pick the Right SaaS Technologies

Your Software as a Service business’s ability to grow, stay safe, and run well will all depend on the technology stack you choose. Some common SaaS technologies are:

  • Frontend: For a dynamic UI, use React.js, Vue.js, or Angular on the front end.
  • Backend: For working on the server, use Node.js, Python (Django, Flask), or Ruby on Rails.
  • Database: For managing data, use a database like PostgreSQL, MongoDB, or Firebase.
  • Cloud Infrastructure: Hosting and expanding your business can be done with AWS, Google Cloud, or Azure.
  • Security and Authentication: For two-factor authentication, OAuth, JWT, and SSL encryption are all used for security and identification.

4. Make a Prototype and Gather Feedback

Make a sample or sketch to see how the user will experience the app before you start full-scale development. Before moving on to full development, try the SaaS product with possible customers in beta to make it better.

5. Make the MVP (Minimum Viable Product)

An MVP lets you test your SaaS business plan with little money. Before you grow your Software as a Service or Blockchain as a Service business, you should focus on the most important features and make sure that users are getting value from it.

6. Set up DevOps and Cloud Hosting

Because SaaS products work in the cloud, it’s important to spend money on a strong system. Set up CI/CD processes to make development happen all the time, and use cloud services like AWS Lambda, Kubernetes, and Docker to handle server management.

7. Choose a Pricing Model for SaaS

To keep making money, you need to know how to price a B2C SaaS product. Think about:

  • Pricing based on subscriptions (monthly and yearly plans)
  • Premium benefits in a freemium model
  • Pricing based on usage (pay-per-use, API calls, or storage limits)

With tiered prices, users can get different levels of access based on their needs.

8.  Launch and Grow Your SaaS Product

Launch your MVP with a strong “go-to-market” plan once it is stable. SEO, content marketing, pay-per-click (PPC) advertisements, and link schemes may all help you attract visitors to your website. To get the greatest outcomes, monitor key performance metrics, solicit client input, and adjust your SaaS business plan.

By following this road map, you can make a SaaS product that meets users’ changing wants and takes advantage of new SaaS technologies for its continued success.

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Benefits of SaaS Implementation

When a business employs SaaS, it may reap several benefits, including the flexibility to work and collaborate at all times. Here are some of the advantages of SaaS that ensure you want to incorporate it into your business:

  • To begin, SaaS makes it simple to reach more people in more locations. So, regardless of how large or small your company is, a solid SaaS solution may assist you in working together and collaborating.
  • Building SaaS applications is the most popular software choice for enterprises worldwide since it is simple to set up and utilize.
  • SaaS alternatives offer extremely cheap start-up costs, which may be reduced even more if necessary by the firm.
  • Software as a service requires little effort to set up and run. This makes it incredibly easy for even tiny enterprises to use.
  • SaaS options show facts and changes to the project in real time. This allows numerous individuals to work on the same file simultaneously without having to edit it manually.
  • Strong security elements are included in SaaS application development to ensure that all company and customer data is safe and secure.

Related: Enterprise SaaS

Why is it important to know how much it costs to build a SaaS Platform?

When you are ready to begin developing SaaS platforms or apps, you must first determine the cost of doing so. It’s because there isn’t a fixed quantity you can keep to while developing a SaaS app. However, other factors might influence how much it costs to construct a SaaS solution. So, if you don’t know how much it costs to employ SaaS developers, you may be unable to make informed decisions.

  • Budget Allocation Based on Knowledge: First, having a good idea of how much it costs to build a SaaS app will help with planning and allocating your budget. You can then decide if the project has enough tools for you.
  • Better Risk Management: It’s easier to control risk when you know how much SaaS development services cost. It’s easy to see what might cause costs to go up or down and what places might need extra money.
  • Profit-Driven Pricing Strategy: If you’re aware of how much it costs to build a SaaS product, you can establish pricing that covers those expenses, earns you money, and keeps you competitive.
  • Retain Investors: Realizing how much it costs to build a SaaS application makes it simpler to attract and persuade investors to fund your SaaS apps, allowing you to grow a larger solution.
  • Feature Prioritization: Understanding the cost of developing a SaaS product will help you prioritize features more effectively.

Factors to Look For While Deciding the SaaS Product Development Cost

SaaS Product Development Cost factors

As we talked about in the last part, the total SaaS product development costs are affected by a number of things. Any changes to these factors can have a big effect on the total cost of growth. Instead of relying on random numbers, it is preferable to spend the effort to comprehend these elements. This allows you to tailor the app to your specific demands while remaining within your budget.

1.  Complexity of the Product

The difficulty of the task is the main thing that determines how much SaaS development costs. If you want to make a SaaS product with lots of complex features and widespread use, it will take longer to create and cost more. Here is a rough breakdown of how much it costs to create SaaS software based on the project complexity:

Project Complexity Estimated Cost
Micro SaaS Development $10,000 – $25,000
Basic SaaS Application $25,000 – $50,000
Medium SaaS Application $50,000 – $150,000
Complex SaaS Application $150,000 – $500,000

2. Type of Application

Another important consideration is what kind of SaaS application you want to construct. Different sectors and company specializations need varied SaaS development services, influencing the total cost. This variety is due to the fact that each kind of SaaS app requires a unique technological stack and human resources. Here’s an estimated cost, depending on the application type:

Application Type Estimated Cost
Custom CRM Development $30,000 – $150,000
E-commerce Website Development $40,000 – $200,000
ERP Software Development $50,000 – $250,000
HRM Software Development $25,000 – $120,000

3. Set of Functionalities

The SaaS app development cost is directly proportional to the quantity and intricacy of features included in the application. If you need complex functionality, external service integrations, or considerable customization, the development cost is going to rise.

Type of SaaS MVP Estimated Cost
Simple SaaS MVP $25,000 – $50,000
Medium-Complexity SaaS App MVP $50,000 – $150,000
Complex SaaS MVP $150,000 – $300,000+

4. UI/UX Design

Every SaaS system has a user interface, but the level of customization and additions you choose might impact prices. A well-designed, user-friendly interface increases engagement, but it also costs money since it demands the skills of UI/UX designers.

5. Hiring Models

There are many engagement methods for SaaS application development. You might outsource the job to a SaaS development firm at a set cost. Alternatively, you may engage freelance individuals who provide SaaS development services, which is generally a more cost-effective choice than outsourcing. Another option is the in-house employment approach, which involves recruiting dedicated SaaS engineers to work under your supervision. While this is best for long-term projects, it is also the most costly choice.

6. Location of the SaaS Development Team

The physical location of your SaaS product development team has a substantial impact on the overall project cost. Hiring a SaaS development business in North America, Western Europe, or Australia is often twice as expensive as hiring developers in Asian nations such as India. As a result, the location you choose might have a significant influence on the entire cost of developing your SaaS product.

Understanding these elements allows you to better estimate the budget for your SaaS application and make cost-effective selections.

Read Also: How to Develop an AI SaaS Product?

A Detailed Breakdown of SaaS Development Costs

Having explored the different elements that influence the cost of SaaS application development, it is equally important to have a fundamental understanding of where your investment is distributed. Here is a recent tweet regarding the SaaS development costs:

So, this section provides a detailed analysis of the price of creating a SaaS product, highlighting the primary phases that require financial allocation for various essential functions.

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1. R&D Expenses for SaaS Development

The development of a SaaS product requires substantial study and preparation, as well as a committed budget. This phase includes market research, competitive analysis, and determining user expectations. The following is an estimate of the primary cost components involved in the R&D stage of SaaS development:

R&D Task Description Estimated Cost
Market Analysis Identifying market demand, analyzing competitors, and defining the target audience. $5,000 – $15,000
Requirement Analysis Documenting product specifications and gathering requirements from stakeholders. $3,000 – $10,000
Prototype & Wireframing Designing early-stage product wireframes and visual representations. $5,000 – $20,000
Technical Feasibility Study Assessing technological requirements, frameworks, and system architecture. $7,000 – $25,000
Proof of Concept (PoC) Creating a basic version of the software to validate core functionality. $10,000 – $30,000
UI/UX Design Designing an intuitive, visually appealing, and user-friendly interface. $8,000 – $25,000
Quality Assurance & Testing Conducting various tests to ensure software performance and compliance with standards. $10,000 – $30,000
Deployment Strategy Planning cloud deployment, infrastructure setup, and server configurations. $5,000 – $15,000
Ongoing Maintenance & Support Post-launch updates, bug fixes, and continuous technical support. $20,000 – $50,000+

2. SaaS Product Development Costs

Working on front-end and back-end development, this phase focuses on including all capabilities and features within the program. This phase consists of choosing a suitable technological stack, programming language, SaaS architecture, API integration, and third-party services. The development expenditures are broken out here:

SaaS Development Task Description Estimated Cost
Frontend Development Implementing a user-friendly and responsive interface. $10,000 – $40,000
Backend Development Creating server-side functionalities such as authentication, data handling, and processing. $15,000 – $60,000
Database Management Structuring and optimizing the database to store and process data efficiently. $8,000 – $30,000
API Development Building and managing APIs for seamless communication between front-end and backend systems. $5,000 – $25,000
Third-Party Integrations Connecting external services such as payment gateways and analytics tools. $5,000 – $20,000

3. Design-Related Costs

Improving usability depends on an interactive and interesting user interface (UI), particularly for consumers with less technological knowledge. Custom UI/UX design additions cost extra and are charged by SaaS development businesses. Key design-related cost considerations are listed below:

Design Task Description Estimated Cost
UI/UX Design Crafting intuitive user interfaces, wireframes, and interactive prototypes. $5,000 – $20,000
Graphic Design Creating visuals, icons, and graphical assets for branding. $3,000 – $10,000
Branding & Marketing Assets Designing logos, brand colors, and promotional materials. $2,000 – $8,000

4. Hosting Costs and Infrastructure

The infrastructure cost encompasses several backend components like cloud hosting, server maintenance, database administration, and networking. The following approximates many expenditures connected to infrastructure:

Infrastructure Element Description Estimated Cost
Cloud Hosting Services Subscription fees for platforms like AWS, Azure, or Google Cloud. $500 – $5,000/month
Database Management Costs for data storage solutions. $200 – $3,000/month
Network Infrastructure Includes expenses for data transfer, CDN, and load balancing. $100 – $2,000/month
Cybersecurity Measures Investments in firewalls, encryption, and data protection. $1,000 – $10,000/year

The Bottom Line

Creating a SaaS product for 2025 calls for meticulous preparation, a clear knowledge of development expenses, and the correct technological stack. The SaaS product development costs are determined in part by elements such as feature complexity, scalability, integrations, and compliance requirements. Investing in a well-organized SaaS solution can boost productivity, creativity, and long-term development regardless of your company type—start-up or established.

Recently, we at SoluLab introduced Morpheus.Network, a SaaS platform driven by blockchain technology meant to transform the logistics sector. Morpheus. Network improves supply chain security and efficiency by deftly combining blockchain, IoT, and real-time alerts. This study shows how contemporary SaaS solutions may link historical systems with new technology, therefore allowing companies to move naturally into a distributed future.

The team at SoluLab- a SaaS development company can assist you in negotiating the whole development process—from conceptualization to deployment—should you be seeking to create a high-performance SaaS application. Contact us now to learn how we can bring your SaaS vision to life efficiently and cost-effectively.

FAQs

1. What are the main things that determine how much it costs to make a SaaS product in 2025?

How much it costs to make a SaaS product relies on things like how many features it needs, how secure it needs to be, how many third-party links it needs, and how well it meets industry standards. The skills of the development team and the cost of upkeep are also very important.

2. How much does it cost to make a SaaS product?

Depending on how big and complicated the app is, making a SaaS platform can cost anywhere from $50,000 to more than $500,000. A basic SaaS MVP can cost between $50,000 and $100,000, while an enterprise-level system with all the features can cost more than $500,000.

3. How much time does it take to create a SaaS product?

The time it takes to create something depends on how big and complicated it is. In 3 to 6 months, you can finish a simple MVP. In 12 to 18 months, you can finish a full-fledged SaaS platform with lots of advanced features. Updates and attempts to scale up may make the development cycle longer.

4. What kinds of tools are most often used to make SaaS?

AWS, Azure, and Google Cloud are common cloud services that are used to build SaaS platforms. Backend technologies like Node.js, Python, or Ruby on Rails are also common, as are frontend frameworks like React, Angular, or Vue.js. A lot of people also use databases like PostgreSQL, MongoDB, and Firebase.

5. Why choose SoluLab to build your SaaS product?

SoluLab, as a blockchain development company, has a lot of experience making SaaS products that are safe, scalable, and new. We just released Morpheus. Network is a blockchain-powered SaaS tool that is changing the way processes are done. We make sure that our modern SaaS products meet the needs of businesses by using our knowledge of AI, blockchain, and cloud computing.

 

Voice AI Agent Training Guide

Posted on by Shipra

Voice AI Agent Training

So, how do you train a voice AI agent on a voice AI platform? The idea might sound tricky, but it can be explained in a very simple way. Think of it as teaching someone a new language or showing a tourist how to get around a new city. You break it into steps, keep things clear, and make sure there’s practice along the way. This guide walks through the whole process, from planning to testing, with examples that feel easy to follow.

Knowing What a Voice AI Platform Does

A voice AI platform is software that helps create and train digital agents that can talk with people. Instead of only pressing buttons or typing messages, customers can simply speak. The agent listens, understands, and gives answers in real time. It can work in call centres, sales, or even customer service for small businesses.

The main goal is to make conversations smoother. But just like teaching someone how to read a map, the agent needs training before it can handle real customers. That’s why setup and guidance matter so much.

Starting With Clear Goals

Before you train an agent, you need to decide what you want it to do. Do you want it to answer basic questions, handle bookings, or maybe support sales calls? Having a clear goal is like knowing which city you are visiting. Without that, you could get lost.

For example, if you run a hotel, the agent might need to answer questions about check-in times or room availability. If you run a store, the agent might help with order updates or return policies. Each case will have its own plan.

Getting the Basics Ready

When you travel, you make sure you have tickets, clothes, and money. For training an AI agent, you also prepare. You need good data, examples of customer conversations, and scripts. The platform uses this information to learn.

Start with simple phrases. Customers may say “I need help with my order” or “What are your hours?” Teaching these basics first makes the agent stronger. Later, you can move on to more complex cases.

How Training Usually Works

Training a voice AI agent is like practice runs before the real trip. You speak to the agent, test responses, and correct mistakes. Over time, it becomes better.

Most platforms give you dashboards where you can enter phrases, set replies, and even test the voice output. Some also connect with CRM systems so the agent has customer details ready. That makes conversations more personal and saves time.

Choosing the Right Voice AI Platform

There are many platforms you can use. Plura AI, Retell.ai, and Vapi.ai are some common names. They all offer features like voice agents, CRM integration, and support for SMS or chat. The best choice depends on your goals and budget.

Plura AI is one of several platforms that offer a full suite of tools. It may support customer engagement and operational efficiency by bringing calling, SMS, and CRM together. Retell.ai focuses on flexible integration, while Vapi.ai has strong voice automation tools. Looking at them side by side helps you see what fits your business best.

Why Plura Stands Out

Even though there are many options, Plura often stands out because it combines calling, SMS, and CRM in one place. That means you don’t have to juggle multiple tools. It’s an AI contact center platform that also supports AI calling and SMS automation.

It’s not about being the only option. Instead, it’s about being one of the platforms that try to make operations smoother. That can be useful if your team wants everything in one setup.

Preparing Your Team

When you travel, you don’t just pack your own bag—you also remind others what to bring. The same goes here. Your staff should know how the agent works. They should understand that AI is here to help, not replace.

Hold short sessions to explain the software. Show them how it answers calls, how it pulls details from the CRM, and when they need to step in. The more comfortable they are, the smoother the rollout will be.

Running Pilot Tests

No one books a long vacation without trying short trips first. Pilot tests let you see how the AI agent performs. Start small, maybe with one department or a limited set of calls. Listen to recordings, check the reports, and look at customer feedback.

You may notice that some phrases confuse the AI. Adjust those scripts. You may also find that some customers prefer speaking to a human for certain issues. In that case, you set up quick transfers so they don’t wait long.

Watching the Results

Training doesn’t stop after the first round. You keep checking. Reports can show you call length, drop rate, or how many issues are solved without human help. If the numbers improve, you know the training is working.

If not, you make small changes. Add more training phrases, adjust responses, or improve the voice tone. Over time, the agent becomes more natural. It’s like how a tourist learns more about a city each time they visit.

Handling Common Challenges

There are always bumps along the way. Sometimes the AI misunderstands accents. Sometimes background noise makes things harder. These can be fixed with better data and tuning.

Costs can also be a challenge. Some platforms charge per user, others by minutes or calls. Planning your budget early helps avoid surprises. Training staff also takes time, but it pays off once everyone is confident.

Tips for a Smooth Rollout

Start with simple tasks. Let the agent answer common questions first. Add complex ones later. This builds confidence for both staff and customers.

Also, keep testing in different conditions. Calls in winter, calls at busy times, and calls in quieter hours can all sound different. The more varied the training, the stronger the agent becomes.

Wrapping Up the Journey

So, how do you train a voice AI agent with a voice AI platform? You start with clear goals, prepare your data, and choose a platform that fits your needs. You run small tests, train the AI, and check results often.

Platforms like Plura AI, Retell.ai, and Vapi.ai all bring useful tools. Plura stands out as one of the platforms that bundle many features together. It may support customer engagement and efficiency when connected with CRM and SMS automation.

In the end, training a voice AI agent is less about machines and more about planning, practice, and patience. Just like a trip, the journey gets easier the more you prepare.

Is Your Legacy Software Holding You Back? Here’s How Modernization Services Can Help

Posted on by Shipra

Modernization in software development

In today’s fast-paced digital world, outdated software can become a serious obstacle to business growth. Legacy systems, once powerful tools, may now hinder efficiency, expose businesses to security risks, and limit innovation. If your company still relies on legacy applications, it’s time to ask a critical question: Is your legacy software holding you back? The good news is that legacy application modernization services offer a strategic path forward—one that aligns your technology with modern business needs.

Signs Your Legacy Software Is Holding You Back

Legacy systems are typically older applications built with outdated technologies, which can be difficult to maintain and integrate with newer tools. Businesses facing any of the following issues may be suffering from software stagnation:

  • Frequent crashes, downtime, or performance lags
  • Poor compatibility with modern devices or cloud platforms
  • High maintenance costs and technical debt
  • Security vulnerabilities due to a lack of updates
  • Inflexibility when it comes to scaling or adapting to market changes

These are clear indicators that legacy application modernization services are needed. Modernization not only helps overcome technical limitations but also positions companies to respond faster to evolving customer and market demands.

The Business Risks of Ignoring Legacy Systems

Sticking with outdated systems might seem like the easier or cheaper choice in the short term, but it often leads to long-term losses. Here’s why:

1. Decreased productivity: Employees waste time navigating slow, outdated interfaces or manual processes.

2. Customer frustration: Legacy systems often result in poor user experiences, limited features, or slow service delivery.

3. Security risks: Unsupported software increases exposure to cyber threats, data breaches, and compliance violations.

4. Falling behind competitors: Businesses that embrace digital transformation can innovate faster, scale more easily, and deliver better products or services.

Ignoring these issues can cause a gradual erosion of your competitive advantage, making modernization a strategic necessity rather than just a technical upgrade.

What Are Legacy Application Modernization Services?

Legacy application modernization services are professional solutions that help organizations upgrade or transform their outdated systems into modern, flexible, and scalable architectures. These services involve strategies such as:

  • Rehosting (Lift-and-Shift): Moving legacy applications to the cloud without changing their architecture.
  • Replatforming: Migrating applications to a new platform with minimal code changes.
  • Refactoring: Rewriting portions of the application to improve performance and scalability.
  • Rebuilding or Replacing: Creating entirely new applications that serve the same function with modern tools.

Modernization services often utilize technologies such as microservices, containers (e.g., Docker, Kubernetes), APIs, and cloud platforms like AWS, Azure, or Google Cloud.

How Modernization Services Solve Legacy Challenges

Modernization transforms legacy software into agile, efficient, and future-ready systems. Here’s how:

1. Scalability and performance: Refactored or cloud-based applications can handle higher loads and support future business growth.

2. Enhanced security: Updated systems are easier to monitor, patch, and defend against cyber threats.

3. Improved user experience: Modern interfaces and features lead to happier employees and customers.

4. Faster innovation: Modern systems support DevOps, CI/CD, and agile practices, enabling rapid updates and feature releases.

5. Integration-friendly: Modernized applications can easily connect with tools like CRMs, analytics platforms, or ERP systems.

Ultimately, modernization removes the friction that legacy systems introduce, allowing businesses to move forward with confidence.

Choosing the Right Modernization Strategy

There’s no one-size-fits-all approach to modernization. Businesses should start by assessing the current state of their legacy systems and defining their strategic goals. Key questions include:

  • What are the main pain points of the existing system?
  • Which parts of the application are mission-critical?
  • What is the desired future state—cloud-native, hybrid, or something else?

In many cases, partnering with an experienced IT consultancy can help guide the process. For companies already using or planning to implement CRMs, integrating Salesforce Sales Cloud services into the modernization roadmap can add significant value. Salesforce offers robust features for customer management, sales automation, and analytics tools that can transform a business when connected with modernized systems.

Whether you’re moving data to the cloud or enabling real-time insights across teams, combining modernization with platforms like Salesforce unlocks powerful new possibilities.

Real-World Results. What Businesses Gain?

Modernizing legacy systems isn’t just about solving technical problems—it’s about unlocking business potential. Organizations that embrace modernization often report:

  • Reduced IT costs: Streamlined infrastructure, fewer outages, and simplified maintenance lower overall spending.
  • Faster time-to-market: Agile development environments allow faster releases and product updates.
  • Increased revenue: Better performance and customer satisfaction often translate directly into higher profits.
  • Stronger compliance and data control: Modern applications help meet regulatory standards and ensure data integrity.

One example: A mid-sized retail company that migrated its inventory system from an outdated on-premise platform to a cloud-native solution experienced a 40% increase in operational efficiency within six months, while also cutting IT overhead by 30%.

Legacy software might have served your business well in the past, but in today’s digital economy, it could be your biggest bottleneck. If you’re noticing signs of stagnation, high maintenance costs, or poor integration, it’s time to consider legacy application modernization services.

How to Build And Launch Web3 App?

Posted on by Shipra

Launch web3 app

Web3 is changing decentralized and blockchain-based programs (dApps) by enhancing security, openness, and user control. Web3, unlike Web2, which utilizes centralized servers, uses blockchain technology to enhance ownership and trustworthiness.

Creating a Web3 app takes more than an idea. Selecting the right blockchain, deploying smart contracts, and achieving a smooth user interface are all key steps. Solidity (Ethereum), Rust (Solana), and Web3.js all make development easier.

It also depends on monetization through tokens, NFTs, transaction fees, community development, and regulatory compliance. The international market for Web3 stood at $3.17 billion in 2024 and can grow to $99.75 billion by 2034, at a compound annual growth rate (CAGR) of 41.18%.Web3 app development will become more popular as blockchain adoption increases.

This blog discusses it all, from development to marketing, to ensure you build a Web3 application successfully. 

What Is a Web3 App, and How Does It Work?

Web3 applications, also known as decentralized applications (dApps), are built on decentralized networks such as blockchain, allowing them to operate without centralized authority.

Web3 applications can be built on several blockchain networks. These applications frequently have a front-end interface that allows users to communicate with the decentralized backend via smart contracts or other blockchain-based protocols. Below are some examples of web3 applications.

1. Supply Chain Management Systems: These apps allow enterprises to use blockchain technology to track the flow of goods across the role of web3 in the supply chain.

2. DeFi Applications: These financial applications use a blockchain network to allow users to lend, borrow, and swap Bitcoin with no intermediaries.

3. Decentralized Social Networks: These social media platforms operate on a blockchain network, providing users greater control over their data and content.

4. NFT marketplaces: These platforms allow users to purchase and sell NFT marketplaces in 2025, which represent unique digital products such as artwork and collectibles.

Types of Web3 Apps

Types of Web3 Apps

Web3 apps are diverse and unique, including non-fungible token (NFT) marketplaces to decentralized finance (DeFi) networks.  Each app may fall into a separate industry, yet they all target providing open, secure, and user-centric experiences through blockchain technology. The following are the most popular categories of Web3 apps:

  • DEXs (Decentralized Exchanges): Exchanges that enable consumers to trade cryptocurrencies without having to go through traditional centralized exchanges are referred to as DEXs (Decentralized Exchanges).
  • Lending Platforms: Use smart contracts to manage loans, making it easier to borrow and lend digital assets. Staking and restacking services allow users to lock their tokens for rewards, improving network functionality and security.
  • Non-Fungible Tokens (NFTs): Non-fungible Tokens (NFTs) are separate digital assets that represent ownership or validity. NFT marketplaces are online venues that allow manufacturers and collectors to buy, sell, and trade NFTs.
  • Cross-Chain Bridges: Software that improves interoperability by enabling the transfer of data and assets between blockchain networks.
  • Wallets with Add-on Features: These wallets offer additional services, such as token swapping and direct interaction with DApps, alongside their use for cryptocurrency storage.
  • Crypto Games: Blockchain games where users can earn Bitcoin through playing and possessing in-game assets such as NFTs.
  • Portfolio trackers: Portfolio trackers are software that allow investors to monitor and track their portfolios of digital assets across numerous platforms.

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How to Develop A Web3 Application?

Let’s now examine a concise, practical roadmap for developing Web3 apps that divides the procedure into doable phases.

1. Specify Your Project’s Objectives And Vision.

Let’s begin by discussing why. A clear knowledge of your objectives is the first step in any Web3 app development process. Do you want to transform DeFi? Start a Web3 game app that becomes viral? Or perhaps develop an NFT marketplace that offers an unmatched user experience? Even the most advanced technology won’t have much of an effect without a clear goal.

Think about the special benefits your Web3 app will offer. Every choice you make, from selecting your blockchain network to designing your user experience, will be guided by a clear vision. Keep in mind that developing Web3 apps requires both creativity and technical know-how.

2. Select Your Tech Stack and Blockchain

Think about things like scalability, security, pricing, and transaction speed. Next, pick the tools, frameworks, and programming languages that operate best with the blockchain of your choice. 

Consider scalability if your Web3 app development project involves millions of users, a load-bearing network will be necessary. Polygon and other Layer 2 methods can provide a smooth scaling choice.

3. Select the Development Group

The age-old query: Is it better to hire an internal team or hire a third party to develop Web3 apps? Although in-house teams provide deep project integration and total control, they are expensive and time-consuming. Conversely, outsourcing provides you with access to seasoned Web3 specialists who are ready to go.

You can save time and money as a startup by outsourcing. Seek partners who have a track record of developing Web3 apps and who communicate openly.

4. Development of Tech Specs

Make a thorough technical specification document that describes your application’s design, features, data structures, and integrations. The development team uses this paper as a guide. The development of Web3 apps necessitates careful technological planning.

5. Whitepaper Development and Tokenomics

The foundation of any Web3 project is tokenomics. A properly designed token economy encourages user participation and guarantees steady growth. In contrast, your whitepaper explains your vision, technologies, and roadmap to prospective investors and users.

Your whitepaper should discuss real-world issues that your Web3 app development resolves, and your tokenomics should be simple to comprehend. Steer clear of too much jargon.

6. Design of UX/UI

Make an effort to design an intuitive user interface. Although the internal workings of Web3 apps can be complicated, the user interface should be easy to use and intuitive. User-centric design must be given top priority while developing Web3 apps. Even users may be put off by a cumbersome UI.

7. Phase of Development

It consists of three essential elements that combine to form a useful Web3 application. Smart contracts are used in Web3 app development to automate tasks like payment or reward distribution, handle crypto assets (tokens, NFTs), and implement essential business logic (such as trading rules or game dynamics). The foundation of decentralized apps is smart contract development, which specifies how the system functions on the blockchain.

Despite Web3’s emphasis on decentralization, a backend can still be useful. When developing a Web3 application, the backend handles tasks that are not suitable for on-chain processing, such as storing large datasets (via off-chain storage such as IPFS), performing complex calculations, dealing with user authentication (in certain cases), and delivering dynamic content to the frontend. The front end of a Web3 application is the interface that allows users to engage with the blockchain technology that powers it.

In Web3 app development, the front displays data obtained from the backend (via the API), or the blockchain, and it links to user wallets (like MetaMask) to let users engage with smart contracts (viewing data, initiating transactions).

8. Auditing and Testing

Because blockchain applications run in a harsh environment, thorough testing is a must. Every piece of code needs to be carefully examined, from functional tests to outside security audits.

9. Installation and Start-Up

Launch your application to the public after deploying your smart contracts on the mainnet. Make sure your deployment strategy includes user onboarding and scalability procedures.

10. Marketing and Community Development

Creating and interacting with a community is the goal of Web3 app development. Using online forums, social media, and other platforms, create a vibrant community around your initiative. Attracting users and promoting adoption requires effective marketing.

11. Upgrading, Maintaining, and Supporting

To guarantee the functioning and continuous advancement of your application, provide regular maintenance, assistance, and upgrades. The development of Web3 apps is a continuous process of refinement and iteration. 

Latest Tech Stacks Required to Develop A Web3 Application

The development of Web3 apps involves a mix of technologies and tools. These are a few of the latest technology stacks needed to construct web3 mobile apps.

1. Blockchain Technology

The most important prerequisite for developing a Web3 application is a blockchain platform. The most popular blockchain technology platform for creating Web3 applications is Ethereum.

2. Programming Languages for Smart Contracts

Code that executes itself on a blockchain platform is known as a blockchain smart contract. The most popular programming language for creating smart contracts is Solidity.

3. Web3.js

A JavaScript package called Web3.js provides a means of communicating with the Ethereum blockchain. Developers can write client-side programs with it. It also supports data queries and transaction transfers between the web3 application and the blockchain.

4. Wallets

The most popular wallet for Ethereum-based Web3 applications is MetaMask. Web3 applications need wallets as a way to communicate with the blockchain.

5. Tools for Testing

To guarantee the security and dependability of smart contracts, testing is essential while developing Web3 applications. Smart contract testing can be done in a development environment with tools like Truffle and Ganache.

6. Frameworks for Development

Web3 apps can be developed and deployed more quickly with the help of development frameworks like Embark and DappHub. Blockchain technology, smart contract programming languages, JavaScript libraries, decentralized storage, wallets, testing tools, and development frameworks are all necessary for creating Web3 apps. 

Read Also: What is GameFi? 

Features Required to Develop A Web3 Application

Features Required to Develop Web3 Appl

Web3 apps, sometimes referred to as decentralized apps or dApps, differ from conventional centralized apps in several ways. The following are a few essential components of Web3 mobile app development:

  • Decentralization: Web3 applications are distributed. It indicates that a particular organization or authority does not govern the web3 software. They are more resistant to censorship and attacks because they operate on a dispersed network of nodes.
  • Transparency: Anyone can confirm the legitimacy and integrity of transactions because of the blockchain’s transparent and publicly accessible data.
  • Lack of trust: Web3 applications are made to function without requiring confidence. It is accomplished by creating smart contracts. They are self-executing programs that enforce the conditions of the agreement while operating on the blockchain.
  • Tokenization: Tokens like asset tokenization development or digital assets that represent anything of value, such as money, shares, or awards, are frequently used in Web3 apps.
  • Open Source:  Web3 applications are frequently created as open-source software, which enables anybody to help with the app’s creation and enhancement.
  • User Control:  Web3 apps enable users to manage their identities, access control, and privacy, giving them greater control over their data and digital assets. 

What is the Cost to Develop A Web3 Application?

A Web3 application’s development cost might vary based on several parameters. The following are some important parameters that may affect the price of developing a Web3 app:

1. Type of Blockchain

The cost of developing web3 software can be greatly impacted by blockchain technology. Since Ethereum is the most widely used blockchain for Web3 apps, it is a good option if you are unsure about which kind of blockchain to pick. For a precise pricing estimate, speak with the experts at the Ethereum development business.

2. Complexity of Smart Contracts

The cost of developing a smart contract in Defi can be affected by its code complexity. More complicated smart contracts may take longer to create and test. Therefore, consider your project budget when making plans for the creation of smart contracts.

3. Design of User Interfaces and User Experiences

The Web3 application’s user interface and user experience design may affect the price. Although it might take more time and money to create, a well-thought-out and user-friendly interface can increase user engagement and retention.

4. Aspects of Security

When creating Web3 apps, security is a crucial factor. The cost of development may increase if smart contracts are created and a safe connection between the application and the blockchain is ensured.

5. Experience of the Development Team

The cost of development may be influenced by the team’s experience and skill. Although they may cost more, skilled developers could be able to create the application more quickly. 

Depending on the complexity of the application and the previously listed elements, the total cost to construct a Web3 application can vary from a few thousand dollars to several hundred thousand dollars or more. Hiring web3 developers or collaborating with a development team that can provide you with the best web3 development services within your budget is crucial.

Examples of Transformative Web3 Applications

Here are a few examples of Web3 applications:

  • Polkadot

The multichain concept for the decentralized web is intended to be realized by Polkadot, a decentralized web3 blockchain initiative. True interoperability, parachains, parathreads, great energy efficiency, and user-driven governance are some of the characteristics that set Polkadot apart from the other third-generation advanced blockchains. The development of creative dApps and solutions that can smoothly handle a variety of web3 applications is made easier by Polkadot’s ecosystem.

  • Axie Infinity

The play-to-earn paradigm used by the web3 gaming platform Axie Infinity enables players to play, earn, and exchange NFT-based game assets, such as collectibles, vehicles, skins, and weaponry. Users must finish a series of steps, including creating an Axie Infinity account and connecting the wallet to access the Axie Infinity platform.

  • Uniswap

An open and decentralized network protocol is used by Uniswap, a web3 DeFi exchange protocol, to fully transfer ownership to users rather than a single organization. A financial marketplace that is open and available to everyone involves developers, traders, and liquidity providers.

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Conclusion

Launching a Web3 app requires a well-structured approach that blends blockchain technology, smart contracts, decentralized storage, and a user experience. From selecting the right blockchain network to developing secure and efficient smart contracts, each step plays a crucial role in ensuring your app’s success.

Security and scalability are key considerations, as Web3 applications operate in a decentralized environment with immutable transactions. Thorough testing, audits, and compliance with regulations help mitigate risks and build user trust. Additionally, integrating a user-friendly wallet system and optimizing gas fees can enhance adoption rates.

OBORTECH Smart Hub transformed blockchain integration by solving key challenges like multi-cloud interoperability, user accessibility, and scalability. It introduced a staking platform, a crypto payment gateway, and smart contracts to enhance security and transparency. These innovations made blockchain more user-friendly and efficient across supply chain, healthcare, and finance industries. SoluLab is a Web3 app development company that has experts who can help you launch web3 apps. Contact us today to discuss this further and hire a web3 developer!

FAQs

1. What is the role of smart contracts in Web3 application development?

Smart contracts automate processes in Web3 apps by executing predefined rules on the blockchain. They ensure transparency, security, and decentralization, enabling trustless transactions without intermediaries.

2. What programming languages and frameworks are commonly used in Web3 application development?

Solidity Ethereum and smart contract, Rust (Solana), and Vyper are popular languages. Frameworks like Hardhat, Truffle, and Foundry help in smart contract development, while web tools like Web3.js and Ethers.js connect frontends to blockchains.

3. How do Web3 apps make money?

Web3 apps generate revenue through transaction fees, token launches, staking mechanisms, NFTs, and decentralized finance (DeFi) models like lending or liquidity pools. Some also offer premium access via subscriptions or governance tokens.

4. What is a gas fee, and how does it impact Web3 apps?

Gas fees are transaction costs paid to miners/validators for processing blockchain operations. High fees can affect user adoption, making Layer 2 scaling solutions like Polygon and Arbitrum crucial.

5. What are the steps to launch a Web3 app?

Define the use case, choose a blockchain, develop smart contracts, integrate a frontend, test for security, deploy, and promote via community building and token incentives.

 

Top DeFi Protocols To Look For in 2026

Posted on by Shipra

Consider that your money isn’t confined to traditional banks but flows freely through decentralized protocols, eliminating the need for intermediaries. As we step into the year 2026, the Decentralized Finance (DeFi) space has witnessed an astonishing surge in innovation, with a myriad of protocols competing for supremacy. 

If you’ve been following the crypto space, you’ve likely encountered discussions about DeFi’s potential to change how we handle money. With a plethora of protocols, it can be challenging to discern which ones are leading the charge.​

In this article, we’ll explore the top DeFi protocols that are making significant impacts in 2026. We’ll explore what these protocols are, how they function, and why they matter. 

What are DeFi Protocols and How Do They Even Work?

A DeFi protocol is a collection of guidelines, code, and practices that control blockchain-based financial applications, mainly those used for cryptocurrency lending, borrowing, and trading. These protocols, such as Uniswap and Aave, use smart contracts on platforms like Ethereum to provide financial services without the need for conventional middlemen.

Unlike traditional financial systems, DeFi protocols are open source. This makes these services available to anybody with an internet connection, boosting financial transparency and inclusivity.

1. Smart Contracts: Decentralized finance protocols utilize smart contracts, self-executing pieces of code, to define the rules and conditions of various financial transactions and agreements. These smart contracts automate processes and ensure transparency and security without requiring a central authority.

2. Decentralized Governance: Many DeFi protocols have decentralized governance mechanisms, allowing token holders to participate in decision-making processes, such as proposing and voting on protocol upgrades or changes.

3. Liquidity Pools: In DeFi protocols like Uniswap and Curve Finance, liquidity is provided by users who deposit their assets into liquidity pools, which enable the trading of assets without the need for centralized order books.

4. Yield Farming: Some DeFi protocols offer incentives in the form of governance tokens or other rewards to users who provide liquidity or use their platform. This process, known as yield farming, encourages participation and liquidity provision within the ecosystem.

5. Interoperability: Decentralized finance protocols often work together through composability, meaning they can interact with each other’s smart contracts, creating complex financial systems with a wide range of functionalities.

Here are the Top DeFi Protocols in 2026

1. Uniswap

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Uniswap continues to maintain its position as one of the best DeFi protocols within the cryptocurrency space, fundamentally reshaping the landscape of trading. Pioneering the use of automated market maker (AMM) technology, Uniswap facilitates direct asset exchanges from users’ wallets via liquidity pools. Its appeal lies in its abundant liquidity, transparent operations, and low transaction costs, drawing in a vast user base.

Looking ahead to 2026, Uniswap aims to further enrich its platform with enhanced user experiences, while also addressing scalability challenges to accommodate the surging demand. Additionally, it endeavors to broaden its array of services and features to meet the evolving needs of the decentralized finance ecosystem.

2. Aave

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Aave has solidified its position as the leading decentralized lending and borrowing protocol. By allowing users to lend their assets and earn interest or borrow assets by providing collateral, Aave has democratized access to credit and interest-earning opportunities. Its innovative “flash loans” have enabled instant, uncollateralized borrowing and sparked a new wave of DeFi applications. In 2026, Aave is expected to expand its offerings with support for new assets, introduce new features for risk management, and strengthen its security protocols to protect user funds.

3. Synthetix

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Synthetix stands at the forefront of the DeFi revolution, enabling the creation and trading of synthetic assets that represent real-world assets like stocks, commodities, and fiat currencies. These synthetic assets, or “synths,” allow users to gain exposure to various markets without holding the actual underlying assets. As demand for diversified investment opportunities rises, Synthetix is anticipated to roll out new assets, improve oracle mechanisms, and enhance its governance to meet the evolving needs of the DeFi community.

4. MakerDAO

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MakerDAO, the creator of the first decentralized stablecoin DAI, has significantly contributed to the stability and liquidity of the DeFi ecosystem. It is one of the biggest players in this industry. DAI pegged to the US Dollar, has become a staple in DeFi and is utilized as collateral for various lending and borrowing activities. As the demand for stablecoins continues to soar, MakerDAO is likely to explore new collateral options, optimize its governance model, and expand its partnerships with other DeFi protocols to enhance its utility and reach.

5. Yearn Finance

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Yearn Finance has redefined yield farming by automating the process of yield optimization. With its intuitive platform, users can deposit their assets, which are then moved across various DeFi protocols to maximize returns. As yield farming becomes more accessible and user-friendly, Yearn Finance is expected to unveil new strategies, offer integration with additional DeFi protocols, and implement governance improvements to enhance its value proposition.

6. Curve Finance

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Curve Finance is a specialized decentralized exchange tailored for stablecoin trading. Its algorithm ensures low slippage and high liquidity for stablecoin pairs, attracting traders looking for stable asset swaps. As the demand for stablecoin trading rises, Curve Finance is anticipated to increase its liquidity provision strategies, launch new stablecoin pairs, and optimize its user experience to maintain its leading position.

7. SushiSwap

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SushiSwap, an automated market maker (AMM) DEX, has gained significant traction due to its community-driven approach and innovative product offerings. As an evolution of the original Uniswap protocol, SushiSwap has introduced additional features, such as revenue-sharing for liquidity providers and unique tokenomics. In 2026, SushiSwap is poised to introduce new features, strengthen its governance, and enhance its liquidity incentives to remain a key player in the competitive DEX landscape.

8. Compound

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Compound has emerged as a prominent decentralized lending and borrowing platform, allowing users to lend or borrow a variety of cryptocurrencies. Its straightforward and efficient user experience has attracted a massive user base. In 2026, Compound is likely to expand its asset offerings, refine its interest rate models, and introduce new governance features to maintain its position as a leading DeFi lending protocol.

9. PancakeSwap

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Operating on the Binance Smart Chain, PancakeSwap has brought DeFi to a broader audience with its lower fees and faster transactions. Its familiar interface and diverse trading pairs make it a favorite among traders seeking a seamless experience outside the Ethereum network. PancakeSwap introduces its unique token called CAKE. Unlike being solely a governance token, CAKE serves as a liquidity provision token, effectively motivating liquidity providers to engage with the PancakeSwap platform. To begin using PancakeSwap, all you require is to link your non-custodial wallet containing the tokens you wish to trade.

10. Balancer

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Balancer’s innovative platform allows users to create personalized liquidity pools and introduces a unique concept of “smart” pools. These smart pools automatically rebalance their asset allocations to maintain desired weightings, optimizing returns and minimizing the need for constant manual adjustments. This dynamic feature provides a hands-off approach for liquidity providers while ensuring efficient trading opportunities for users.

As one of the top DeFi protocols, Balancer aims to continue its trajectory of innovation and advancement. With its focus on user-centric solutions and automated features, Balancer strives to solidify its position as a cornerstone of the decentralized finance ecosystem. By further refining its platform functionalities and expanding its range of services, Balancer seeks to meet the diverse needs of its growing community of users.

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Conclusion

DeFi protocols represent a substantial change in the way financial services are provided and used, not only a substitute for conventional financial systems. These protocols improve accessibility, security, and transparency by utilizing blockchain technology. 

The professionals will contribute their knowledge about how to overcome the obstacles. From developing smart contracts to integrating with well-known DeFi systems, they oversee a variety of duties. This ensures that your project will be secure and effective.

SoluLab recently helped DLCC build a solution, with two key platforms, Prime Product and Tokenet. It offers crypto trading, lending, and borrowing at negotiable fees. Eventually, it enhances user experience, strengthens security, and enables faster transactions. 

SoluLab, a DeFi development company has its team of experts to help you discuss DeFi protocol-related queries. Contact us today to discuss further!  

FAQs

1. Which DeFi protocols are leading in 2026?

Some of the top DeFi protocols in 2026 include Aave, Lido, EigenLayer, Uniswap, and Sky (formerly MakerDAO), based on metrics like Total Value Locked (TVL) and user adoption.

2. What role does AI play in DeFi protocols?

Artificial Intelligence is being integrated into DeFi protocols to enhance automation in trading, risk management, and yield optimization. AI-driven tools help users navigate complex DeFi platforms more efficiently.

3. How can users participate in DeFi protocols?

Users can engage with DeFi protocols by connecting their cryptocurrency wallets to platforms like Aave, Uniswap, or Lido. It’s essential to understand the risks involved, such as smart contract vulnerabilities and market volatility, before participating.​

4. How does SoluLab contribute to the DeFi ecosystem?

SoluLab, as a leading DeFi development company, offers tailored solutions and expertise to empower projects within the DeFi ecosystem. From smart contract development and auditing to decentralized application (dApp) development and protocol optimization, SoluLab ensures scalability, security, and strong user adoption.

5. What factors should investors consider before participating in DeFi protocols?

Investors interested in DeFi protocols should conduct thorough research and consider various factors before participating. Key aspects include the protocol’s technology, security audits, team expertise, tokenomics, governance framework, and awareness of regulatory risks.

What Are the Business Benefits of Blockchain-as-a-Service?

Posted on by Shipra

Blockchain-as-a-Service (BaaS)

Building a blockchain solution from scratch can be a massive headache—high costs, complex infrastructure, and the need for a specialized tech team. For many businesses, these hurdles make blockchain feel out of reach. 

Blockchain is no longer solely connected to Bitcoin and cryptocurrencies. Companies are now seeing how it might lower operating expenses and improve equity. 

The global BaaS market was valued at approximately USD 4.3 billion in 2024 and is projected to reach USD 68 billion by 2030, growing at a CAGR of 58%.

Blockchain is generating major advances in efficiency and accountability across a wide range of sectors, from simplifying government operations to changing contract enforcement. In this blog, we’ll explore what blockchain as a service is, use cases, and more. 

What is Blockchain-as-a-Service?

Blockchain-as-a-Service (BaaS) refers to third-party providers who create and manage cloud-based networks for companies developing blockchain applications. This service is a recent addition to the rapidly growing blockchain technology field. 

While blockchain is most commonly associated with cryptocurrency transactions, its use has expanded to secure various types of transactions. As a result, there is a rising demand for hosting services to support these applications.

How Does the Business Model for Blockchain-as-a-Service Work?

The method via which third parties set up, host, and manage a Blockchain network on account of enterprises is referred to as the blockchain-as-a-service business model. In exchange for payments, the service provider provides the services for setting up blockchain technology and infrastructure.

Blockchain-as-a-service for businesses functions much like a web hosting company in many aspects. It gives clients access to cloud-based tools for creating and hosting smart contracts and Blockchain applications within the provider-managed ecosystem.

In conventional businesses, the BaaS integration offers assistance for resource allocation, bandwidth control, data security features, and hosting needs. The ability of businesses to focus on their core competencies rather than the intricacies of Blockchain operations is the largest effect of BaaS on a company.

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How Organizations are Being Shaped by Blockchain-as-a-Service?

BaaS is transforming businesses with a modern touch. Here’s a breakdown of how the business model for Blockchain-as-a-Service (BaaS) works:

1. Third-Party Provider Management: BaaS providers offer infrastructure for businesses to create and manage their blockchain applications on cloud-based networks. These services handle the technical aspects, including network setup, smart contract creation, and blockchain hosting.

2. Subscription-Based Pricing: Many BaaS platforms charge businesses on a subscription basis, where users pay a recurring fee for accessing blockchain infrastructure and services. Pricing models may include tiered levels based on features, scalability, or usage volume.

3. Transaction Fees: Some BaaS providers charge fees based on the number of transactions processed on their blockchain networks. This can be structured as a pay-per-use or pay-per-transaction model, where costs increase with higher usage.

4. Smart Contract and App Development: BaaS providers often offer additional services like smart contract creation, testing, and deployment. Businesses may pay extra for blockchain integration services or custom app development.

5. Security and Compliance Services: Providers ensure that businesses using their blockchain networks comply with legal and regulatory requirements. Businesses may incur additional costs for security features like encryption, identity management, and auditing.

6. Scalability and Flexibility: BaaS providers offer scalable solutions to accommodate growing businesses. This flexibility allows companies to scale blockchain applications as their business needs evolve without significant upfront infrastructure investment.

7. Partnerships with Enterprises: BaaS providers often partner with large enterprises, offering customized solutions to help them integrate blockchain technology into their existing business operations (e.g., supply chain management, finance).

Read Also: Blockchain in Water Management

Use Cases of Blockchain-as-a-Service by Industry

Use Cases of BaaS by Industry

Since Blockchain, as previously said, is a data management platform, data-keeping will be at the core of any solution within its domain. The use examples that follow demonstrate how various firms employ blockchain technology for transparency and immunity.

1. Healthcare

Because blockchain maintains a universal and transparent version of patient medical data, it has significantly altered the healthcare industry. Thanks to well-organized and updated data, blockchain technology has facilitated the provision of immediate treatment to individual patients by a number of medical specialists.

Additionally, blockchain helps verify the legitimacy of pharmaceuticals. This implies that the source of any medicine or chemical may be determined. Manufacturers that have been recalling certain ingredients for prescription medications have greatly benefited from this. 

2. Automotive

Handling supply chains and avoiding fake components is the automotive industry’s greatest problem. Here, the blockchain platform as a service comes to the rescue by providing transported automobile parts with end-to-end accessible data. This makes it easier for car companies to locate and distinguish between real and bogus spare parts.

Furthermore, the efficient flow within the sector has been disrupted by Blockchain services in the production and supply chain. Essential components are always available, and companies may achieve maximum output with the fewest possible obstacles.

3. FinTech

Every average banking consumer now feels at ease thanks to blockchain technology in FinTech, since it has simplified several financial procedures, such as the KYC and AML verification processes. 

In addition to enhancing transparency and immutability to avert conflicts. Customers may now use smart cards thanks to blockchain services. These smartcards facilitate quicker financial payments without requiring central authority certification.

4. Transport and Logistics

Identity verification is critical to the logistics and transportation industries, respectively, for both people and products. Passengers may complete the full procedure quickly and easily with only one identity token. In a similar vein, freight movement, verification effectiveness, and fault tolerance.

Blockchain platform-as-a-service offers different sectors and data silos a failsafe method. 

5. Government and Public Sector

Blockchain’s transparency and immutability can greatly improve government processes. Blockchain applications for public operations are changing the way governments operate by providing answers for safe identity management, transparent voting procedures, and effective public records management.

6. Energy, Oil & Gas

To improve energy trade and efficiency, SaaS-based blockchain applications are being used. Blockchain platform Vakt automates transaction settlement and optimizes documentation. Blockchain technology is popular for peer-to-peer energy trade. Users can swap excess renewable energy with neighbors via Powerledger, enhancing energy efficiency and lowering expenses.

7. Contract Execution 

Under the Blockchain’s smart contracts service, a dedicated platform facilitates the execution of contracts, ensuring heightened levels of transparency. The decentralized architecture ensures that all involved parties possess equal access to pertinent information, fostering a fair and equitable environment for contract execution.

Furthermore, this distributed ledger technology not only enhances transparency but also streamlines the contract execution process, reducing the need for intermediaries and associated costs. With automated enforcement of contractual terms and conditions, smart contracts offer efficiency and reliability, thereby revolutionizing traditional contract management practices. This innovative approach not only mitigates disputes but also enhances trust among parties, paving the way for more efficient and secure transactions across various industries.

Read Blog: How Blockchain Is Revolutionizing the Fintech Industry?

Top Blockchain-as-a-Service (BaaS) Providers in 2025

Top BaaS Providers in 2025

Blockchain-as-a-Service (BaaS) is establishing itself as a game changer for organizations that are interested in utilizing the potential of blockchain technology without the hassles of infrastructure administration. Here, we look at the top BaaS providers who are leading the way in enabling smooth blockchain connectivity for organizations across several sectors.

1. Microsoft Azure Blockchain

  • Overview: Microsoft Azure Blockchain offers a robust suite of services tailored to simplify blockchain development and deployment. With Azure Blockchain Service and Azure Blockchain Workbench, users gain access to tools for building, governing, and deploying blockchain networks effortlessly.
  • Key Features: Seamless integration with Azure services, support for Ethereum and Hyperledger Fabric, built-in governance, and monitoring tools, scalability, and high availability.
  • Market Presence: Widely recognized and trusted by enterprises globally, particularly prevalent in finance, healthcare, and supply chain sectors.

2. IBM Blockchain Platform

  • Overview: The IBM Blockchain Platform provides a comprehensive set of tools and services designed to accelerate blockchain adoption across industries. Offering support for multiple frameworks and deployment options, IBM empowers enterprises to build, operate, and scale blockchain networks with ease.
  • Key Features: Flexible deployment options (cloud, on-premises, hybrid), advanced analytics and insights, integration with IBM Cloud services, and industry-specific solutions for supply chain, finance, and healthcare.
  • Market Presence: Highly regarded by enterprises seeking enterprise-grade blockchain solutions, prevalent in regulated industries where security and compliance are paramount.

3. Amazon Web Services (AWS) Blockchain

  • Overview: AWS Blockchain offers a suite of managed blockchain services that enable users to create and manage blockchain networks effortlessly. With services like Amazon Managed Blockchain and Amazon Quantum Ledger Database (QLDB), users can leverage the scalability, security, and reliability of AWS for their blockchain applications.
  • Key Features: Fully managed blockchain infrastructure, support for popular frameworks like Hyperledger Fabric and Ethereum, integration with other AWS services, and a pay-as-you-go pricing model.
  • Market Presence: Highly adopted across various industries, including finance, gaming, and logistics, AWS Blockchain stands out for its reliability, scalability, and ease of use.

Read Our Blog: Top Blockchain Development Companies in 2025

4. Hyperledger Fabric

Overview: Hyperledger Fabric, an open-source blockchain framework hosted by the Linux Foundation, is designed for enterprise use. It focuses on providing a modular and flexible architecture, enabling businesses to create blockchain solutions for various industries like finance, supply chain, and healthcare.

Key Features: Permissioned blockchain architecture for enhanced security, Modular design allowing businesses to plug in their preferred components, and supports smart contracts, known as “chaincode,” written in general-purpose programming languages.

Market Presence: Hyperledger Fabric is widely adopted by enterprises, particularly in industries requiring secure and scalable blockchain solutions, such as IBM’s Food Trust Network, Walmart’s supply chain initiatives, and more.

5. Tezos

Overview: Tezos is a self-amending blockchain platform that supports smart contracts and decentralized applications (dApps). It is known for its focus on security, scalability, and ease of use, making it a strong choice for businesses looking to implement blockchain solutions.

Key Features: Self-amending protocol, allowing upgrades without hard forks, formal verification for smart contract security and on-chain governance, allowing stakeholders to vote on changes.

Market Presence: Tezos has gained significant traction in the decentralized finance (DeFi) space and among enterprises exploring blockchain applications, including partnerships with major brands like McLaren and the Swiss financial sector.

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Final Words

Blockchain technology is changing industries worldwide by providing innovative solutions to enduring problems. Businesses looking to stay competitive can benefit from its efficient, transparent, and safe features. 

The numerous applications of blockchain technology present new opportunities for development and success across industries like advertising, real estate, supply chain management, and banking. With the help of blockchain consulting services, business executives can fully leverage distributed ledger technology to drive innovation and streamline operations by understanding and applying its use cases effectively.

OBORTECH partnered with SoluLab to improve its SmartHub platform by integrating blockchain as a service (BaaS), like a secure staking system, crypto payment gateway, and smart contracts. Overcoming multi-cloud interoperability and UI challenges, the solution enabled OBOT token transactions, improved user engagement, and delivered a scalable, IoT-integrated blockchain ecosystem across the supply chain and finance industries.

SoluLab, a blockchain development company, has a team of experts ready to discuss all your business queries and deliver innovative solutions. Contact us today to discuss further!

FAQs

1. What is Blockchain-as-a-Service (BaaS), and how does it differ from traditional blockchain deployment?

Blockchain-as-a-Service (BaaS) is a cloud-based service model that allows businesses to utilize blockchain technology without the need for extensive in-house infrastructure and expertise. Unlike traditional blockchain deployment, where organizations have to build and maintain their own blockchain networks, BaaS platforms offer pre-built infrastructure and tools for faster and easier deployment.

2. What are the key benefits of using Blockchain-as-a-Service for businesses?

Some key benefits of using Blockchain-as-a-Service include enhanced security, increased transparency, streamlined operations, cost savings, and scalability. By leveraging BaaS, businesses can mitigate security risks, improve trust among stakeholders, automate processes through smart contracts, reduce operational expenses, and quickly scale their operations as needed.

3. Which industries can benefit the most from Blockchain-as-a-Service solutions?

Industries such as finance, healthcare, supply chain, real estate, and logistics stand to benefit the most from Blockchain-as-a-Service solutions. These sectors often deal with sensitive data, complex transactions, and regulatory compliance requirements, making the transparency, security, and efficiency offered by BaaS platforms particularly valuable.

4. Can BaaS help reduce business costs?

Yes! BaaS helps reduce business costs by eliminating the need to build and maintain a full banking or blockchain infrastructure. Since you don’t have to manage the network, you save on infrastructure, talent, and ongoing maintenance. This leads to faster innovation and significant cost savings.

5. How can SoluLab assist businesses in leveraging Blockchain-as-a-Service?

SoluLab, a leading blockchain development company, helps businesses investigate, implement, and optimize Blockchain-as-a-Service solutions. SoluLab’s experienced team can help businesses at every stage of their blockchain journey with custom blockchain applications, integrating BaaS platforms into existing systems, or more.

 

How AI in KYC (Know Your Customer) Makes It Easy-Peasy?

Posted on by Shipra

AI in KYC

In the banking industry, regulatory compliance and client onboarding are both being profoundly altered by the incorporation of Artificial Intelligence in KYC (know-your-customer) procedures. It is impossible to overstate AI trends and their contribution to improving KYC operations, effectiveness, precision, and security as organizations work to comply with the complicated AML laws.

Over the past 10 years, technological advancements, especially in artificial intelligence and, more recently, generative AI chatbots, have significantly changed the work of KYC analysts. In the past, a KYC analyst’s duties included manually processing volumes and data, examining client profiles, verifying identification, cross-referencing, screening for negative media, and making sure that constantly shifting regulatory requirements were followed. This process was labor-intensive and time-consuming due to the growing complexity of international financial regulations and the enormous amounts of data produced by companies and their clients.

But the question is, how is AI for KYC processes bridging the gap within, and how is it pushing traditional KYC procedures away? Continue reading to find out!

Evolution of KYC

KYC standards deliver protection against illegal activity by providing standardized procedures that have received recognition. Multiple aspects of its development phase require explanation, including the following:

1. Regulations

KYC took its first major stride forward with the US Bank Secrecy Act passed during the 1970s when financial institutions needed to track records of cash purchases of negotiable instruments. The Bank of England released complete KYC requirements during the 1990s. 

Evaluating new customers requires dedicated procedures, so these innovations built a worldwide method to Know Your Customer regulations. The Financial Action Task Force (FATF) has promoted money laundering and terrorism funding as the core subject of KYC since implementing its requirements. 

Financial organizations, together with banks, adopted hand-operated verification systems using paper records to validate customer information throughout the early KYC compliance years. The core of KYC compliance operations accepts simple customer information combined with verification of their identity documents.

2. Essential Requirements for KYC Processes

Authorities across the world initiated a KYC procedure analysis after the tragic attacks of September 11, 2001. The Patriot Act issued by the USA prompted additional KYC requirements for American financial enterprises to adhere to. With the addition of Customer Identification Programs (CIP), KYC enhanced its overall functionality to detect crimes beyond terrorism financing by increasing organizational alertness. Cognitive departments across the globe introduced digital KYC compliance technologies during this period.

3. KYC Compliance Systems 

The early 2000s produced innovative technology that revolutionized KYC services permanently. The development of digital KYC compliance tools resulted from the growth of internet adoption and advanced data analysis technologies. The creation of specialist KYC compliance solutions gained momentum because regulators strengthened their oversight and showed the importance of KYC. 

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Limitations of Traditional KYC Processes

The combination of various factors leads traditional Know Your Customer (KYC) systems to become both costly and inefficient and accessible to financial crime. The following statement describes KYC restriction specifics:

KYC compliance for financial institutions leads them to spend significant sums of money, mainly during new client onboarding procedures. Each year, financial institutions allocate between $20 and $30 million to develop their KYC operations.

The price for KYC corporate client reviews ranges between $1,500 and $3,000, according to 54% of banking institutions, and exceeds $3,000 for 21% of these institutions.

Standard KYC system technology can lead to severe regulatory consequences, together with a damaged reputation, when financial crimes evade detection.

In 2018, the Commonwealth Bank of Australia paid AUD 700 million (USD 530 million) in penalties for failing to supervise over 778000 accounts that might be used for money laundering activities. Traditional software systems proved they could not handle sophisticated criminal methods during this specific incident.

Traditional KYC methods are difficult to handle, thus creating client dissatisfaction and slowing down the onboarding process for new customers. Research reveals that inadequate onboarding procedures within banks result in the loss of 48% of their customers. The time needed for banks to capitalize on market opportunities diminishes because of these delays.  

The digital KYC system, known as eKYC, delivers two benefits through modernized procedures that boost client satisfaction rates.

Institutions adopting old KYC approaches encounter heightened vulnerability to financial crime activities. Markets in the United States suffered a loss of more than $1.1 million from suspicious money transfers through a bank located in Missouri because of insufficient anti-money laundering regulation enforcement. The authorities enforced financial penalties because of this operational failure to demonstrate the importance of robust AML regulations.

How is AI in KYC Filling the Gaps?

How AI in KYC Filling the Gaps

AI in banking delivers an innovative solution to these challenges through enhanced KYC process automation and enhancement. These are the five fundamental ways banking institutions respond to fast AI in KYC procedures. 

1. Increased Accuracy for Identification 

Advanced artificial intelligence systems review extensive data while performing accurate information validation through complex algorithms together with machine learning capabilities. The identity verification process becomes more reliable through the precise identification of fake documents combined with decreased error possibilities.

2. Effective Evaluation of Risks 

The analysis of customer behavior combined with transaction data allows AI for KYC processes to conduct enhanced and more efficient risk assessments. The human-based evaluation process would fail to identify both irregularities and possible dangers that machine-learning programs can find. AI systems detect abnormal financial activity and high-risk events by providing financial institutions with immediate, proper responses. 

3. Automated Surveillance and Notifications

Several methods focus on suspect activity detection that requires sustained observation because they enable the discovery of money-laundering schemes. The analysis of financial activities by AI algorithms throughout the entire process identifies abnormal data behaviors persisting beyond regular patterns. A proactive approach by organizations enables them to detect fraudulent activity before it progresses so they can apply suitable corrective measures, thereby enhancing security performance and achieving better compliance levels.

4. Cutting Down on Faulty Positives

Traditional KYC methods notoriously produce numerous wrong alarms that incorrectly identify normal transactions as suspicious. AI algorithms that demonstrate an improved ability to discern honest transactions from fraudulent ones help decrease wrong positive results in KYC processes. The improved accuracy through this approach leads to better customer satisfaction while reducing the strain on compliance teams who work with KYC.

5. Efficiency in Terms of Cost

Process automation through AI-powered KYC Technology eliminates the requirement for extensive manual work, so organizations cut down their operating expenses. Through simplified identity verification procedures, financial organizations preserve substantial financial resources while improving their resource allocation.

Read Also: Generative AI in Payments

A Stronger Basis for AI in KYC

AI in finance creates exceptional opportunities to design superior customer interactions and better decision-making systems and organizational performance. For successful implementation, there are three key requirements comprising strong processes, human involvement, and high-quality data.

  •  The Significance of Superior Data

AI achieves its effectiveness based on the quality of data it handles. The reliability of the results suffers when the input data is insufficient or of poor quality, thus reducing its operational efficiency. A data fabric should function as a connective architecture that links data across the whole organization because of this requirement. AI models receive their best operational results through the implementation of data processing standards that produce clean, complete information. AI outputs become better integrated into existing workflows because of a system that enables easy implementation, leading to improved execution of compliance monitoring and fraud detection programs.

  • Robust Mechanisms for Mixed Autonomy

AI currently operates under “mixed autonomy” by performing work that requires humans to oversee critical choices. The fundamental need in this area is an efficient process management system. The appropriate parties for completing work—including digital systems along with human operators—can be routed through task management between AI systems and automation technologies and human workers. The better alignment between systems results in both improved accuracy and more satisfactory efficiency levels.

  • Involvement of People

Although AI holds potent capabilities, it remains vital to maintain human intellect for determining complex problems as well as ethical decision-making processes. Organizations need to combine technological systems with the knowledge of their workers to maximize beneficial AI outcomes while limiting risks.

Financial institutions can achieve full Artificial Intelligence potential through superior quality data manipulation from a robust data fabric structure alongside efficient process management and human staff maintenance. These methods enable organizations to succeed in the long term as their market transitions rapidly by improving operational efficiency and attaining enhanced results for compliance prevention and business service support.

Step-by-Step Process of AI-Powered KYC Verification

Process of AI-Powered KYC Verification

AI-powered KYC verification eases identity authentication with speed, accuracy, and compliance. How it works in five streamlined steps is as follows:

1. Seamless Onboarding 

Users begin the verification process by submitting personal information and uploading government-issued identification via a secure digital interface.

2. AI-Powered Document Authentication

AI-Powered chatbots analyze ID documents for authenticity, checking security features such as holograms, watermarks, and microtexts to detect any signs of forgery.

3. Biometric Verification

Users take a real-time selfie or video. AI-driven facial recognition compares it with the submitted ID, while liveness detection prevents spoofing attacks using deepfakes or static images.

4. Automated Compliance & Screening

Artificial intelligence tools cross-reference user data with global databases, including government watchlists, AML (Anti-Money Laundering) lists, and fraud detection networks to assess risk levels.

5. Instant Decision

Upon successful verification, the user is onboarded instantly. High-risk cases are flagged for manual review, and ongoing AI-powered monitoring ensures continued compliance and security.

The Search for Alternate Systems

Despite already existing KYC procedures, several industries seek new substitute procedures to improve efficiency and user experience. Substitute systems understand the importance of delivering quick verification services along with minimal user interface annoyance along with some regulatory needs.

  • Casinos Without Verification

Online gaming has recently included no-verification casinos among its alternative client verification processes. The platforms allow gambling users to skip the normal thorough KYC protocols adopted by typical online casinos. These platforms substitute cryptocurrency transactions, which deliver both private transactions and lower the requirement for personal data collection.

Confidential people who want faster account setup prefer this verification solution. These digital platforms face challenging regulatory requirements that they need to fulfill to prevent participation in money laundering and other illicit actions.

  • Peer-to-Peer Platforms 

Online marketplaces, together with P2P systems, utilize streamlined verification approaches for their users. These platforms employ three verification methods, including social authentication, while gathering restricted identification data instead of traditional KYC to execute transactions.

The implementation of this method enables easier access for new users while preserving security standards, which results in growing trust among platform members. Multiple digital platforms in the gig economy speed up user onboarding through simplified identity examinations that third parties execute.

Related: Best P2P Crypto Exchanges

  • Digital wallets and Currencies

The verification process for users in digital currencies and wallets backed by blockchain technology operates using alternative methods. Users on specific platforms can perform transactions since wallet addresses serve as their identification instead of personal information.

This gives users a certain amount of privacy and efficiency, but it does not remove the requirement for KYC in regulated organizations. Furthermore, smart contracts are frequently used by decentralized finance platforms to enforce regulations and transactions of conventional KYC, which depend on the technology itself for compliance and security.

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Future of AI in KYC

AI-powered tools will continue to work together with human analysts in an enhanced manner to advance KYC procedures in the future. AI technological development will enable the automatic completion of repetitive work, which will subsequently give KYC experts time to focus on critical situations. The collaboration between humans and robots improves KYC’s efficiency rate and enhances overall compliance performance. Smart KYC leads the process of change by developing advanced AI tools that both advance artificial expertise and maintain essential human analyst capabilities. 

Artificial intelligence (AI), along with other modern technologies, has transformed KYC analysis by replacing time-consuming manual operations, allowing analysts to allocate their efforts to essential business tasks. AI alongside GenAI helps analysts today achieve ongoing and superior profile monitoring by automating administrative tasks and extracting relevant data points and results. Artificial Intelligence functions as a valuable tool for human operations, although it lacks human intelligence capabilities. The system enables KYC professionals to put their skills toward vital tasks by ensuring international rule compliance and protecting banking and large enterprise security.

The Final Word 

Financial institutions are currently experiencing a revolution in their industry through artificial intelligence (AI) integration with the Know Your Customer (KYC) compliance process. Operational efficiency grows stronger through AI because it handles data examination automatically, along with reducing counterfeit results while improving customer enrollment methods. This technology equipment enables real-time data processing, which provides accurate results, thus allowing compliance staff to focus on solving complex challenges. 

Institutions that use AI stay updated on regulatory changes because this technology adapts easily, which reduces compliance risks and associated penalties. The system integration helps decrease costs as it identifies future compliance risks using predictive analysis, which enables both risk monitoring and cost reduction. SoluLab has been a trusted partner for such businesses and organizations that use AI integration services. Recently, the team got an opportunity to deliver an AI in KYC solution for a client from Libya. It’s an AI-powered banking application offering seamless banking operations, including KYC.     

No wonder the intelligent implementation of AI systems makes institutions better prepared for future success in the quickly changing financial market. SoluLab holds a proven track record as an AI Development Company, delivering unmatchable quality in solutions. If you also wish to be ready for the future with minimal effort, connect with the experts now!

FAQs

1. Is KYC automation possible?

With the help of artificial intelligence, know your customer automation can be done easily. Automating KYC processes during onboarding makes information gathering and documentary review easier.

2. How is KYC using AI?

KYC has traditionally been a process with a lot of paperwork and human checks. By providing more precise and effective techniques for detecting fraud, the Inc. Corporation of AI in KYC procedures is transforming this sector.

3. By whom is KYC verified?

The banks are in charge of KYC compliance. The KYC procedure consists of biometrics, ID, cards, face, shell, and document verification, which includes utility bills as a proof of address. To reduce fraud, banks are required to abide by KYC and money laundering requirements.

4. Which AI method is utilized for KYC?

With the help of artificial intelligence, the method known as optical character recognition (OCR) can be utilized to extract digital client information from Know Your Customer forms. 

5. How does AI in KYC prevent identity theft?

Artificial intelligence compares user information against multiple databases, detects forged documents, and verifies biometric data to prevent identity theft and fraud. Hence making KYC more secure.

 

What is Zero Knowledge Proof Used For?

Posted on by Shipra

Zero Knowledge Proof

From online banking to blockchain transactions, users want proof that systems are secure, without revealing sensitive information. That’s where Zero-Knowledge Proofs (ZKPs) come in.

However, you need to prove you know a password or hold a valid ID without actually showing it. Traditional systems require you to reveal your data, which increases the risk of breaches. ZKPs solve this by allowing you to prove something is true, without revealing the actual data behind it. Used in everything from cryptocurrencies to identity verification, ZKPs are changing how we handle privacy. 

In this blog, we’ll break down how ZKPs work and explore their real-world applications across various industries. If privacy matters to you, this is technology you’ll want to understand.

What is Zero-Knowledge Proof?

A Zero-Knowledge Proof (ZKP) is a cryptographic method that allows one party (the prover) to prove to another party (the verifier) that they know a value or secret, without revealing any information about the secret itself. 

In simpler terms, it’s like proving you know the answer to a puzzle without showing how you solved it. This concept is widely used in blockchain and privacy-focused applications to ensure data validation without exposing sensitive details.

The following three characteristics are intrinsic to ZKPs:

  • Completeness

The transaction is validated, and the prover is allowed to conduct the transaction ahead of time, according to the completeness property. The person who verifies has the power to give the prover the input he previously sought while the transaction statement is accurate.

  • Reliability

The transaction is accurate and does not relate to any fraudulent cases, according to the soundness property. It implies that the verifier cannot be persuaded in any scenario if the transaction circumstances differ and the assertion is false. The verifier is unable to approve the prover’s request for the inputs in this case or certify the prover.

  • Zero-Knowledge

Other than the present statement and whether or not it is real, the verifier is only allowed access to that information. Private information belonging to other parties shall remain concealed. 

Zero-Knowledge Proof Architecture

Zero-Knowledge Proof Applications

Zero-knowledge proof (ZKP) architecture encompasses the underlying structure, protocols, and components that enable the implementation of zero-knowledge proofs in various applications. The architecture typically consists of several key elements designed to facilitate secure and efficient interactions while preserving privacy and confidentiality. Here’s an overview of the components and considerations within Zero Knowledge architecture:

  • Prover: The prover is the entity that wishes to prove the validity of a statement or claim to a verifier without revealing any additional information beyond the truth of the statement. The prover constructs and executes the zero-knowledge proof protocol to convince the verifier of the statement’s validity.
  • Verifier: The verifier is the entity that seeks to verify the validity of the statement presented by the prover without gaining any knowledge beyond the statement’s truth. The verifier interacts with the prover during the zero-knowledge proof protocol to validate the statement while maintaining privacy and confidentiality.
  • Statement: The statement is the assertion or claim that the prover seeks to prove to the verifier. This could be anything from the correctness of a cryptographic transaction to the possession of certain credentials or attributes. The statement must be formulated in a way that allows for efficient and secure verification using zero-knowledge proofs.
  • Circuit or Protocol: The circuit or protocol represents the computational process or algorithm used to encode the statement and generate the zero-knowledge proof. This could involve cryptographic primitives such as hash functions, encryption schemes, or commitment schemes, as well as specific zero-knowledge proof protocols like zk-SNARKs (Zero-Knowledge Succinct Non-Interactive Argument of Knowledge) or zk-STARKs (Zero-Knowledge Scalable Transparent Arguments of Knowledge).
  • Common Reference String (CRS): In some zero-knowledge proof systems, a common reference string is generated and shared between the prover and verifier to facilitate the proof generation and verification process. The CRS typically contains random parameters used in the proof generation and is assumed to be generated honestly by a trusted party.
  • Proof Generation: The prover generates the zero-knowledge proof using the statement, circuit, protocol, and possibly the common reference string. The proof generation process involves executing cryptographic computations to create a succinct and convincing proof that the statement is true, without revealing any additional information about the statement itself.

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  • Proof Verification: The verifier verifies the zero-knowledge proof provided by the prover to determine the validity of the statement. The verification process involves executing cryptographic checks to ensure that the proof is valid and corresponds to a truthful statement. If the verification is successful, the verifier accepts the proof without gaining any knowledge beyond the statement’s truth.
  • Security Considerations: ZKP architecture includes various security considerations to ensure the confidentiality, integrity, and authenticity of the zero-knowledge-proof system. This involves analyzing potential attack vectors, ensuring cryptographic primitives are secure, and implementing measures to prevent adversaries from compromising the proof generation or verification process.
  • Scalability and Efficiency: ZKP architecture addresses scalability and efficiency concerns to enable practical implementation in real-world applications. This includes optimizing proof generation and verification algorithms, minimizing computational and communication overhead, and exploring techniques for batch processing or parallelization to handle large volumes of transactions or interactions.
  • Integration and Adoption: ZKP architecture considers the integration of zero-knowledge proofs into existing systems and applications, as well as strategies for promoting adoption and usability. This involves providing developer-friendly tools and libraries, establishing standards and best practices, and educating stakeholders about the benefits and implications of zero-knowledge-proof technology.

Overall, zero-knowledge-proof architecture provides a framework for designing, implementing, and deploying secure and privacy-preserving systems and applications across various domains. By leveraging cryptographic techniques and protocols, ZKP architecture enables efficient and trustworthy interactions while safeguarding sensitive information and preserving individual privacy rights.

What are the Different Blockchain Use Cases of Zero-Knowledge Proof?

Zero-knowledge proofs (ZKPs) are cryptographic protocols that enable one party (the prover) to prove to another party (the verifier) that a statement is true without revealing any information beyond the validity of the statement itself. This concept has numerous applications across various domains due to its ability to enhance privacy, security, and efficiency. 

Zero-knowledge proofs improve security, safeguard user privacy, enable scaling with layer 2s, and open up intriguing use cases across Web3. Here are some notable use cases of zero-knowledge proofs based on blockchain:

  • Private Transactions on Blockchain

ZKPs allow users to verify transactions without revealing the sender, receiver, or amount. This is especially useful in privacy-focused cryptocurrencies like Zcash, and increasingly in Ethereum-based zk-rollups. Users can maintain confidentiality without sacrificing decentralization or trust.

  • Scalability Solutions (ZK-Rollups)

ZKPs are at the core of zk-rollups, a Layer 2 scaling solution that batches multiple transactions off-chain and proves their validity with a single proof on-chain. This drastically reduces gas fees and increases transaction throughput, making Ethereum and similar networks faster and more efficient.

  • Decentralized Identity Verification (DID)

With Zero-Knowledge Proofs, users can prove aspects of their identity—like age, citizenship, or credentials—without revealing sensitive personal data. This makes ZKPs ideal for building decentralized, privacy-preserving identity systems useful in Web3 logins, KYC, and access control.

  • Secure Authentication & Passwordless Login

ZKPs can be used to prove you know a password or key without ever revealing it, enabling secure, privacy-first authentication. This reduces the risk of data breaches, phishing attacks, and identity theft—perfect for both enterprise and consumer applications.

  • Regulatory Compliance (Without Data Exposure)

ZKPs enable platforms to prove compliance with laws such as AML/KYC, GDPR, or financial regulations, without sharing user data. This is crucial for institutions that want to enter decentralized finance (DeFi) or Web3 without violating privacy mandates.

Benefits of Zero Knowledge Proof

Zero-knowledge proofs (ZKPs) offer a multitude of benefits across various domains, revolutionizing the way information is shared, transactions are conducted, and privacy is upheld. Here are some key benefits of zero-knowledge proofs:

  • Enhanced Privacy: One of the most significant benefits of ZKPs is their ability to enable transactions and interactions without revealing unnecessary information. Users can prove the validity of a statement or transaction without disclosing any additional data beyond what is required, thus preserving their privacy and confidentiality.
  • Improved Security: ZKPs contribute to enhancing security by reducing the risk of sensitive information exposure. Since only the necessary information is disclosed to verify a statement, the likelihood of data breaches or unauthorized access is minimized. This is particularly valuable in systems where privacy and security are paramount, such as blockchain networks and zero-knowledge authentication protocols.
  • Efficiency: ZKPs can streamline processes by eliminating the need for extensive data exchange and verification. Since only the validity of a statement needs to be proven, unnecessary back-and-forth communication or data transmission can be avoided, leading to faster and more efficient transactions.
  • Trust and Transparency: Zero-knowledge proofs promote trust and transparency among parties involved in transactions or interactions. By providing cryptographic assurances without revealing sensitive information, ZKPs enable parties to verify the integrity of statements or transactions, fostering trust in digital systems and reducing the need for intermediaries.
  • Scalability: Zero-knowledge proofs offer scalability benefits, particularly in blockchain and decentralized systems. By enabling efficient verification of transactions or smart contracts without requiring full data disclosure, ZKPs can alleviate scalability challenges associated with processing large volumes of data on decentralized networks.

Powerful Applications of Zero-Knowledge Proofs

Zero-Knowledge Proof Applications

Zero-knowledge proofs (ZKPs) have a wide range of applications across various industries, offering solutions to challenges related to privacy, security, and efficiency. Here are some notable applications of zero-knowledge proofs:

  • Blockchain and Cryptocurrencies

ZKPs play a crucial role in enhancing privacy and confidentiality in blockchain development. Cryptocurrencies like Zcash and Monero leverage ZKPs to enable private transactions, where the sender, receiver, and transaction amount remain confidential while still ensuring transaction validity and integrity.

  • Identity Verification

ZKPs are used in identity verification processes to prove certain attributes or credentials without revealing unnecessary personal information. This can be applied in scenarios such as age verification, citizenship authentication, and access control systems, where privacy regulations and user confidentiality are paramount.

  • Authentication Protocols

Zero-knowledge proofs enhance authentication mechanisms by allowing users to prove their identity without disclosing sensitive information such as passwords or biometric data. ZKPs enable secure and privacy-preserving authentication protocols, reducing the risk of identity theft and unauthorized access to digital services.

  • Secure Data Sharing and Collaboration

ZKPs facilitate secure data sharing and collaboration among multiple parties while preserving confidentiality and privacy. In fields like healthcare and research, zero-knowledge proofs enable stakeholders to analyze sensitive data without accessing individual records, ensuring compliance with privacy regulations and protecting patient confidentiality.

  • Supply Chain Management

Zero-knowledge proofs are used in supply chain management to verify the authenticity and integrity of products or transactions without revealing proprietary information. ZKPs enable transparent and trustless supply chains, allowing stakeholders to track and verify the provenance of goods while protecting sensitive business data.

  • Anonymous Credentials

ZKPs enable the issuance and verification of anonymous credentials, where users can prove certain attributes without disclosing their actual identity. This can be applied in voting systems, access control mechanisms, and online services to ensure anonymity and privacy while still verifying user credentials.

  • Secure Voting Systems

ZKPs enhance the security and integrity of voting systems by enabling voters to prove the validity of their votes without revealing their choices. Zero-knowledge proofs ensure anonymity, prevent vote tampering, and enhance trust in electoral processes, making voting systems more secure and reliable.

  • Financial Transactions and Smart Contracts

Zero-knowledge proofs are utilized in financial transactions and smart contracts to enhance privacy and security. By leveraging ZKPs, parties can verify transactions or contract conditions without disclosing sensitive financial details, ensuring confidentiality and integrity in decentralized financial systems.

  • Digital Rights Management

ZKPs can be applied in digital rights management systems to protect intellectual property and prevent unauthorized access to copyrighted content. Zero-knowledge proofs enable content owners to prove ownership or entitlement to access rights without exposing sensitive information, reducing the risk of piracy and unauthorized distribution.

  • Compliance and Auditing

Zero-knowledge proofs facilitate compliance and auditing processes by enabling verifiable and transparent record-keeping without revealing sensitive data. ZKPs allow organizations to demonstrate compliance with regulations and standards while protecting confidential information from unauthorized access or disclosure.

Future of Zero-Knowledge Proofs Beyond 2025

ZKPs are expected to play a key role in scaling blockchain networks by enabling faster and more private transactions. With the rise of decentralized finance (DeFi) and Web3, ZKPs offer a way to prove user identity, transaction validity, or ownership without exposing sensitive data. 

Industries like healthcare, finance, and supply chain are also exploring ZKPs to ensure compliance without compromising user privacy. Moreover, advancements like zk-rollups are already helping reduce congestion on Ethereum by processing multiple transactions off-chain and verifying them with a single proof. 

As technology grows, ZKPs will likely become standard in digital authentication, enabling secure voting systems, digital IDs, and private smart contracts. Overall, ZKPs are changing how trust is established in a privacy-first digital world, making them a core part of future secure systems.

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Conclusion

Zero-Knowledge Proofs (ZKPs) are changing how we share and verify sensitive information without compromising privacy. From secure logins and identity verification to blockchain transactions and confidential data sharing, ZKPs offer a powerful solution for trustless interactions. 

Their ability to validate information without revealing the actual data makes them ideal for industries like finance, healthcare, and cybersecurity. ZKPs are becoming essential in building secure, scalable, and privacy-preserving systems. Solulab, as a leading blockchain developemnt company, offers all kinds of services backed by years of experience and expertise.

Whether in Web3, digital ID, or compliance processes, the use of Zero-Knowledge Proofs is only expected to grow in the years ahead. Want to integrate in your business, contact us today!

FAQs

1. Are ZKPs ready for mass adoption in 2025?

Yes, many ZKP frameworks and toolkits are now production-ready, and major Layer-2 solutions like zkSync, Polygon zkEVM, and StarkNet are already using them at scale. With increasing demand for data privacy, regulatory compliance, and user control, ZKPs are moving from experimental to essential across the blockchain ecosystem.

2. Are Zero-Knowledge Proofs only for blockchain applications?

No. While ZKPs are heavily used in blockchain, their applications go far beyond. They’re being used in secure authentication, data privacy compliance (like GDPR), digital voting, cloud data sharing, and zero-trust enterprise security models. Their ability to enable trust without disclosure makes them useful in both centralized and decentralized systems.

3. What industries are adopting Zero-Knowledge Proofs in 2025?

In 2025, ZKPs are being adopted across multiple sectors including fintech, supply chain management, healthcare, cybersecurity, government, and e-voting systems. Any industry that deals with sensitive data or requires verification without data exposure can benefit from ZKP-based solutions.

4. Can traditional companies integrate ZKPs without being fully decentralized?

Yes. ZKPs are not limited to decentralized systems—they can be integrated into traditional (centralized) infrastructures to improve data privacy, user verification, and internal compliance checks. Banks, healthcare firms, and supply chain companies are already exploring ZKP use without going fully Web3.

5. What does the future of ZKP adoption look like?

The future of Zero-Knowledge Proofs is promising. As privacy regulations grow stricter and decentralized systems become more mainstream, ZKPs will be essential for building secure, scalable, and compliant applications across industries. They’re expected to be a standard component in Web3, AI systems, IoT security, and even real-world identity frameworks.

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