Key Takeaways
- Banking software has to meet KYC/AML, PCI DSS, GDPR and, in the EU, PSD2 requirements from the first architecture decision. Retrofitting compliance is the most expensive way to get there.
- Published 2026 estimates put a mobile banking app at about $50,000 to $200,000+, a custom payment gateway at £80,000 to £240,000+ for most builds, and a vendor core banking program at $5 million to $100 million.
- A basic mobile banking app takes 3 to 6 months of development; integrating a vendor core takes 18 to 36 months. Phased, MVP-first delivery gets a product live sooner.
- PSD3 and the Payment Services Regulation (PSR) were politically agreed in November 2025. Most PSR rules are expected to apply about 21 months after entry into force, so EU institutions should design APIs and fraud controls for them now.
- AI delivers measurable results in banking: on SoluLab’s Aman Bank build, AI-assisted onboarding cut average onboarding time by 60% and support agent workload by 50%.
- Choose a vendor on verifiable banking delivery, compliance experience, current certifications, and a written post-launch support plan, not on hourly rate alone.
A banking software development company designs, builds, and modernizes the systems banks run on: core banking, mobile and online banking, payments, lending, and compliance tooling. SoluLab delivers these as a consulting-led engineering partner, with AI and blockchain built in where they add value and PCI DSS, KYC/AML, and PSD2 controls designed in from day one.
You don’t need to coordinate separate teams for architecture, development, testing, and deployment. SoluLab provides end-to-end banking software development to turn your financial product idea into a scalable, production-ready platform.
Let’s build your Banking Software
The right architecture reduces operational friction and makes it easier to introduce new financial products, integrations, and customer experiences. SoluLab builds banking software tailored to your functional, regulatory, and technical requirements.
What Is a Banking Software Development Company?
A banking software development company designs, builds, modernizes, and maintains the digital systems banks and financial institutions run on: core banking platforms, online and mobile banking, payment processing, lending software, banking CRM, and the compliance and security layers around all of it. The difference from general software development is the rulebook. Banking software carries strict regulatory, security, and uptime requirements, so the vendor needs financial domain knowledge as much as engineering skill.
Banking software development services are the end-to-end activities that produce and maintain this software: gathering requirements, architecting a secure system, writing and testing code, integrating with payment rails and third-party providers, passing security and compliance checks, and supporting the software after launch.
SoluLab builds and modernizes banking software for banks, neobanks, lenders, and fintechs, pairing custom engineering with AI and blockchain capabilities. Banking is one part of our wider work as a financial software development company, which also covers wealth management, digital wallets, lending, and RegTech.
Who Buys Banking Software Development Services?
- Retail, commercial, and investment banks
- Credit unions and community banks
- Neobanks and virtual or challenger banks
- Private and wealth-management banks
- Payment institutions and e-money issuers
- Fintechs and embedded-finance providers building bank-grade products
The buyer is usually a CTO, head of product, or digital transformation lead who needs a partner that understands compliance as deeply as code. Across every buyer type, the software must be secure, auditable, available around the clock, and compliant in every market it serves. That raises the engineering bar well above a typical consumer app.
What Does a Banking Software Development Company Do?
The core functions span the full product lifecycle:
- Custom development of banking applications built around a specific institution’s workflows, not a template.
- Modernization of legacy core banking systems, including safe migration of data off aging platforms.
- Integration with payment networks, card processors, credit bureaus, KYC providers, and open banking APIs.
- Compliance and security controls built into the product from the first architecture decision, not bolted on afterward.
- Maintenance, monitoring, and support once the software is live.
Our Banking Software Development Services
We deliver a full slate of services, so an institution can start at any stage, from a greenfield build to modernizing an existing core.
1. Custom Banking Software Development
We build banking applications from a defined business problem rather than a template. The work moves through analysis, design, development, and support: mapping business and regulatory requirements, designing the architecture and data model, building in iterations, and staying on for maintenance. This fits institutions whose workflows, products, or compliance posture don’t fit off-the-shelf software.
2. Core Banking System Development and Modernization
The core banking system holds accounts, processes transactions, maintains the general ledger, and services loans and deposits. Everything else in the bank connects to it. We build new cores for neobanks and fintechs and modernize or replace aging ones in phases, keeping the bank running during the transition. This is the highest-stakes category in banking software, because downtime or data loss here affects the entire institution.
3. Digital and Online Banking Portal Development
Web portals for self-service banking: balances and statements, transfers, bill pay, card controls, and secure messaging, connected to the core system and to payment and identity services behind the scenes.
4. Mobile Banking App Development
Native iOS and Android apps (Swift and Kotlin) and cross-platform apps for on-the-go banking, including payments, alerts, biometric login, mobile check deposit, card management, and in-app support. Mobile is the primary channel for retail and neobank customers, so performance and security carry the same weight as design. See our fintech app development company page for consumer finance apps beyond banking.
5. Payment Platform and Gateway Development
Payment platforms and gateways that process transactions, route them to acquirers and networks, and handle settlement and reconciliation. We cover card payments, account-to-account transfers, and real-time payment rails, with fraud controls layered in. For digital-asset payments, we also build crypto payment gateways.
6. Banking CRM Development
Banking-specific CRM systems that track the full customer relationship: onboarding, product holdings, service history, and cross-sell opportunities. They tie into the core and compliance records, so relationship managers work from accurate, auditable data.
7. API-First and Open Banking Integration (PSD2 and PSD3)
API-first system design and integration with open banking frameworks such as PSD2. EU lawmakers reached political agreement on PSD3 and the new Payment Services Regulation (PSR) on 27 November 2025, and final compromise texts were published on 23 April 2026. Formal adoption and publication in the Official Journal are the remaining steps, and most PSR rules are expected to apply about 21 months after entry into force. We design APIs, consent flows, and fraud-sharing controls so you won’t need a rebuild when the new rules apply.
8. RegTech and Compliance Software
Compliance tooling that automates KYC and AML checks, transaction monitoring, sanctions screening, and regulatory reporting. It reduces manual review load and creates the audit trail regulators expect.
9. Legacy System Modernization and Migration
We modernize legacy banking systems and migrate data from old platforms to new ones. Our default is an API wrapper around the old core first, then phased migration and parallel running instead of a single big-bang cutover. That keeps live operations stable while risk and cost come down.
10. Data Analytics and AI-Driven Banking Solutions
Analytics and AI built into banking software: dashboards for portfolio and risk data, and models for fraud detection, credit scoring, and forecasting. These are covered in more detail in the AI section below and draw on our AI development company practice.
11. Ongoing Maintenance and Support
Live banking systems need monitoring, security patching, regulatory updates, and feature work. We keep them compliant and reliable as rules and threats change, with agreed response times rather than best-effort fixes.
Not sure where to start? Get a fixed-scope MVP plan for your banking product.
What Types of Banking Software Can We Build?
We build the full range of systems a financial institution needs across its front, middle, and back office.
- Core banking systems: the system of record for accounts, transactions, the general ledger, and loan and deposit servicing.
- Online and internet banking platforms: web applications that let customers manage accounts, move money, and access documents without visiting a branch.
- Mobile banking apps: native and cross-platform apps that put banking, payments, and alerts in the customer’s hand.
- Digital banking platforms: one experience across web, mobile, and branch, sharing data and services. These usually sit on a modernized core with an API-first design, so new features ship without touching the ledger directly.
- Loan origination and servicing systems: software for the full lending lifecycle, from application intake and underwriting to disbursement, servicing, and collections.
- ATM and self-service software: software for ATMs and kiosks, covering transaction handling, cash management, and core integration.
- Banking CRM and loyalty management: systems that manage customer relationships and rewards programs, connecting marketing, service, and product data.
- Risk management, fraud detection, and AML/KYC systems: risk software that monitors portfolio exposure, fraud engines that score transactions in real time, and AML/KYC tools that verify identity and screen against sanctions lists. This is where compliance and engineering meet most directly.
- RegTech and compliance software: automated regulatory reporting and compliance workflows with a complete audit trail.
- Wealth and investment management platforms: portfolio management, financial planning, rebalancing, trading, and client reporting for private banks, wealth managers, and advisory arms.
- White-label and neobank platforms: ready-to-brand banking platforms and the infrastructure behind neobanks, so a new entrant can launch without building every layer from scratch. Learn more on our white-label neobank development page.
Banking Software Types at a Glance
| Software Type | Primary Purpose | Key Users | Core Features |
|---|---|---|---|
| Core banking system | Ledger and system of record | Bank back office | Accounts, deposits, loans, transactions |
| Online banking portal | Web self-service | Retail and business customers | Transfers, bill pay, statements |
| Mobile banking app | On-the-go banking | Retail customers | Payments, alerts, biometric login |
| Payment gateway/platform | Transaction processing | Merchants and banks | Multi-currency support, routing, fraud checks |
| Loan origination software | Loan lifecycle | Loan officers, underwriters | Origination, scoring, servicing |
| Banking CRM | Acquisition and retention | Relationship managers | Onboarding, holdings, service history |
| Risk, fraud and AML/KYC | Compliance and security | Compliance teams | Monitoring, KYC, sanctions alerts |
| RegTech and compliance | Automated reporting | Compliance and legal teams | KYC/AML checks, audit trails |
| Wealth and investment platform | Portfolio management, advisory | Private banks, wealth managers | Rebalancing, reporting, trading |
| White-label / neobank platform | Rapid bank launch | Challenger banks, fintechs | Pre-built infrastructure, branding layer |
How Do We Ensure Security and Regulatory Compliance?
Security and compliance are designed into a banking system from the first architecture decision, not added at the end.
Security practices:
- Encryption of data at rest (AES-256) and in transit (TLS 1.2 or higher)
- Multi-factor and token-based authentication (OAuth 2.0 and OpenID Connect)
- Role-based access control and least-privilege permissions
- Code review, dependency scanning, and penetration testing before every major release
- Continuous monitoring and tamper-evident logging of privileged actions
Regulatory standards commonly in scope, depending on region and product:
- KYC and AML requirements for customer identity checks and transaction screening
- PSD2 for open banking and payment services in the EU, with PSD3 and the PSR agreed and awaiting formal adoption
- PCI DSS v4.0.1 for card data; the future-dated v4.0 requirements became mandatory on 31 March 2025
- GDPR for personal data, with fines of up to €20 million or 4% of global annual turnover
- ISO 20022 for payment messaging; Fedwire moved to ISO 20022 in July 2025 and Swift ended MT/ISO 20022 coexistence for cross-border payments in November 2025
- SOC 2 for service-organization controls
- GLBA and SOX for US financial institutions
SoluLab holds ISO 9001 and CMMI Level 3 certifications and reports SOC 2 compliance. We build to the standards above during development, so your software is ready for your auditors and your own certification process.
Our Banking Software Development Process
We run a structured, agile process that keeps compliance and security visible at every stage.
- Discovery (2 to 4 weeks). Define business goals, regulatory scope, technical requirements, and the existing system estate, so scope is clear before any code is written.
- Architecture and design. Design the architecture and user experience: cloud vs. on-premise, monolith vs. services, API design, and data models, with security and compliance as inputs.
- Agile development and integration. Build in two-week sprints, integrating with core systems, payment rails, and third-party services along the way, with code review and security checks throughout.
- QA, security, and compliance testing. Test functionality, performance, and security, including penetration testing and compliance validation before release.
- Deployment. Release with a staged rollout plan that limits operational risk.
- Maintenance and support. Monitor, patch, and enhance the software as regulations, threats, and business needs change.
For most clients we recommend an MVP-first or phased rollout: launch a focused first version, validate it with real users and regulators, then expand. It lowers upfront risk and gets a working product to market sooner.
Technology Stack for Banking Software Development
We choose the stack per engagement, based on the institution’s existing systems, scale, and regulatory constraints. The right column shows what we used on a live banking build.
| Layer | Common Technologies | Used on SoluLab’s Aman Bank Build |
|---|---|---|
| Cloud | AWS, Azure, Google Cloud Platform | AWS |
| Backend | Java, .NET, Node.js, Python | Python |
| Mobile | Native iOS/Android, cross-platform frameworks | Swift (iOS), Kotlin (Android) |
| Data and analytics | PostgreSQL, MongoDB, Snowflake, Databricks, BI tools | MongoDB |
| AI and voice | TensorFlow, LLM APIs, speech-to-text, NLP | TensorFlow, GPT-3.5, Google Speech-to-Text and Text-to-Speech |
| Integration and real time | API gateways, WebSocket, message queues | WebSocket |
| DevOps | CI/CD pipelines, Git, issue tracking | Jenkins, Git, Jira |
| Blockchain | Enterprise or public ledgers where a shared ledger adds value | Not used on this build |
Blockchain belongs in a banking stack only when it solves a real problem, such as settlement, tokenized assets, or a ledger shared between institutions. Our blockchain development for finance team covers those cases.
Engagement Models
| Engagement Model | How It Works | When to Use It |
|---|---|---|
| Dedicated team | A full team works only on your product, managed to your priorities | Long-term builds and ongoing product development |
| Fixed-scope project | Scope, timeline, and cost agreed up front | Well-defined projects such as an MVP or one module |
| Staff augmentation | Our engineers extend your in-house team | Filling specific skill or capacity gaps |
How Much Does Banking Software Development Cost?
Banking software cost varies widely with scope, complexity, integrations, and compliance requirements. The ranges below are published 2026 market estimates, not SoluLab quotes. We give you a fixed or capped estimate after discovery.
| Product Type | Typical Cost Range | Typical Timeline | Source |
|---|---|---|---|
| Mobile banking app | $50,000 to $100,000 (aggregator-style); $100,000 to $200,000+ (dedicated banking app) | 3 to 6 months (basic) to 6 to 12+ months (complex) | SDK.finance, 2026 |
| Payment gateway | £80,000 to £240,000+ for most builds; £400,000 to £800,000 for complex enterprise setups | 6 to 11 months | Airwallex, April 2026 (citing ScienceSoft) |
| Loan origination system | $500,000 to $2 million+ initial build | 12 to 24 months | LendFoundry, April 2026 |
| Core banking (vendor core program) | $5 million to $100 million total program; $2 million to $20 million for a perpetual licence | 18 to 36 months | Crassula, June 2026 |
| Greenfield digital bank | Under $20 million in one McKinsey example | About 9 months in that example; 4 to 12 months typical | McKinsey, 2020; Crassula, 2026 |
Factors that influence cost:
- Scope and features: more modules and integrations raise cost.
- Complexity: real-time processing and AI models cost more than standard account features.
- Compliance requirements: each regulation adds controls, testing, and documentation.
- Integrations: each connection to a core, card network, or KYC provider adds work. LendFoundry puts a typical third-party integration at 4 to 12 weeks.
- Team and location: rates and engagement model affect the total.
- Ongoing costs: budget roughly 20% of the initial build per year for maintenance on a payment gateway, per Airwallex.
Want a number for your scope? Talk to a banking software engineer and get a cost and timeline estimate.
How Does AI Transform Banking Software?
AI turns the large volume of data a bank holds into decisions and automation, moving banking software from fixed rules to systems that learn from data. McKinsey estimates generative AI could add $200 billion to $340 billion in value to the banking industry each year.
- Fraud detection and real-time alerts. Models flag unusual transaction patterns as they happen, catching fraud that rule-based systems miss and cutting false positives over time.
- AI credit scoring. Models assess creditworthiness with more signals than traditional scorecards. Used well, that widens access to credit while managing risk, provided the models are governed for fairness and explainability.
- Risk management. AI supports portfolio, market, and operational risk analysis.
- Predictive analytics and forecasting. Models project cash flow, demand, churn, and portfolio performance.
- Robo-advisory. Automated tools give customers portfolio guidance at scale.
- KYC/AML automation. AI, OCR, and RPA handle document capture, identity verification, and transaction screening, with a human in the loop for exceptions.
- Conversational banking. Chatbots and voice assistants handle balance checks, transfers, card requests, and statements around the clock.
Here’s what that looks like in production. For Aman Bank, a Libyan bank with a 35% market share and over 750,000 customers, SoluLab rebuilt the mobile app with AI-assisted onboarding, an AI chatbot, and a voice assistant. Reported results: 60% shorter average onboarding, 50% less load on human support agents, 40% faster response times, and a 20% increase in digital banking adoption. For more use cases, read our guide to generative AI in banking and finance.
How to Choose a Banking Software Development Company
Use this checklist when evaluating vendors:
- Domain experience: delivered banking or financial services projects, not just general software.
- Compliance track record: hands-on work with PCI DSS, GDPR, KYC/AML, and the rules of your target market.
- Certifications: current, verifiable certifications such as ISO 9001, ISO 27001, SOC 2, or CMMI. Ask for the certificate, not the logo.
- Portfolio and references: real projects and clients you can check.
- Engagement model clarity: clear terms for fixed-scope, time-and-materials, or dedicated-team work.
- Post-launch support: a written maintenance plan with response times, not build-and-leave.
- Communication and time-zone fit: overlapping working hours and regular reporting.
If you’re still building a shortlist, our roundup of the top financial software development companies compares vendors on these criteria.
Why Choose SoluLab for Banking Software Development?
SoluLab is a software consultancy with a fintech practice spanning AI, generative AI, blockchain, and custom development. We work with banks, neobanks, lenders, and embedded-finance providers.
- Banking-grade leadership. SoluLab is led by co-founder and CEO Chintan Thakkar, who spent about a decade as a Vice President at Goldman Sachs before founding the company.
- Proven banking delivery. Our Aman Bank generative AI mobile banking platform cut average onboarding time by 60% and support workload by 50%.
- Financial network integration. For Morpheus.Network, we built a supply chain platform integrated with Swift, the messaging network banks use for cross-border payments in more than 200 countries.
- Scale and track record. 10+ years in business, 250+ developers, 1,500+ projects, and 500+ clients, with offices in the USA, India, Canada, and Australia.
- Certified processes. ISO 9001 and CMMI Level 3 certified, with SOC 2 compliance.
Ready to Build or Modernize Your Banking Software?
Talk to SoluLab about your banking software project. Book a free discovery workshop to scope your core banking, mobile banking, payments, or compliance build with a team that treats security and regulation as first-order requirements. You can also explore our financial software development company page first.
Book a Free Discovery Workshop
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Chintan leads SoluLab's highest-level AI consulting conversations, assessing whether a client's business problem actually justifies an AI investment before any solutioning begins.
