Custom financial software development for secure, scalable digital finance
Whether you're building a neobank, a lending platform, or a financial analytics solution, CIGen provides the technical foundation to move fast and stay compliant - with custom fintech software powered by Azure, automation, and real-time intelligence.
Modernize fintech systems with CIGen
We help fintech startups and financial service providers transition from legacy systems or MVPs to scalable, compliant, and future-proof platforms. Our team blends fintech product thinking with secure engineering practices and cloud-native technologies.
Fintech software development company helps:
Build custom fintech platforms
We develop digital products tailored to your business model — whether you're launching a new lending product, embedded finance feature, or digital bank.
Every system is built to match your regulatory context, UX requirements, and technical vision.
Integrate financial APIs and platforms
Connect to open banking APIs, identity verification services, accounting tools, credit bureaus, and more.
We specialize in designing secure, scalable API integrations for fast data exchange and minimal manual intervention.
Modernize financial software
Rebuild outdated financial systems with modern stacks like .NET 7 and Azure services.
Our re-architecture approach improves scalability, speeds up releases, and prepares your platform for AI, analytics, and automation.
Financial software development services
CIGen’s fintech software development services support high-growth startups and financial firms in building secure, scalable, and compliant solutions — from payment and lending apps to analytics platforms and intelligent automation.
Create user-facing apps for money transfers, account management, and virtual card control.
Develop rule-based loan engines, customer scoring systems, and payment tracking modules.
Build high-volume, fault-tolerant payment systems with fraud detection and real-time settlement features.
Develop internal platforms for invoicing, cash flow analytics, and budgeting for fintech or enterprise clients.
Evaluate your current systems and define a clear path to a secure, scalable infrastructure.
Rebuild monoliths into API-first architectures using .NET and Azure Kubernetes Service.
Incorporate data encryption, RBAC, and secure DevOps pipelines as part of every re-platforming project.
Improve customer experience through modern, intuitive interfaces with accessible financial visuals and flows.
Enable account aggregation, payment initiation, and consent management with European and global providers.
Seamlessly plug in tools like SumSub, Veriff, or Trulioo to automate compliance and identity checks.
Connect to Stripe, Adyen, or bank APIs for card payments, ACH, wire transfers, and payouts.
Build data pipelines between your fintech product and internal finance systems like QuickBooks or Xero.
Use supervised learning and real-time analytics to catch anomalies and suspicious patterns in transaction flows.
Deliver tailored recommendations, spending analysis, and saving suggestions with embedded AI.
Automate customer service and document handling with NLP-powered tools and GenAI.
Build ML models that predict default risk and segment users based on behavior and creditworthiness.
Create interactive dashboards showing revenue trends, risk exposure, and user activity using Power BI.
Generate compliant reports for tax authorities, auditors, or internal governance teams.
Design data flows that monitor fraud alerts, system load, or payment status in near real time.
Leverage Synapse, Data Factory, and Azure ML to build secure, scalable analytics architectures.
Ready to accelerate your financial software development journey?
Partner with CIGen to build secure, scalable, and intelligent financial solutions tailored to your business needs. Whether you're launching a new fintech product, modernizing legacy systems, or integrating AI capabilities, our experts are ready to support your success.
Why hire a custom financial software development company?
Get custom-built solutions that match your specific product model, regulatory obligations, and business workflows — from payments to underwriting.
We prioritize data security and access control from the ground up, helping you meet evolving standards like PCI DSS, SOC 2, and GDPR.
Our cloud-native approach ensures your system handles increasing transaction volumes, API requests, and user accounts without performance loss.
Easily connect to KYC/AML providers, payment gateways, open banking APIs, and accounting platforms.
Streamline onboarding, reporting, reconciliation, and compliance tasks with logic-driven automation and intelligent workflows.
Differentiate your platform with high-performance architecture, embedded analytics, and user-centric interfaces tailored to your use case.
AI in finance: 7 popular applications
Top AI technologies used in Fintech
Financial software development lifecycle tailored to your growth
At CIGen, we tailor every stage of the financial software development lifecycle to support your business growth, regulatory needs, and product innovation. Our approach ensures your solutions are secure, scalable, and ready to meet the evolving demands of the financial services industry.
Defining your product goals, compliance needs, and go-to-market strategy.
Audit existing systems, define core flows, and plan API or data structure design.
Create secure, modular designs aligned with Azure best practices and financial-grade standards.
Develop financial software in iterative sprints, tested against real-world financial use cases.
Connect with payment gateways, KYC/AML tools, and analytics layers in a seamless rollout.
Run performance, security, and compliance checks at every stage of the SDLC.
Support client-facing teams, partners, or internal ops with documentation and live demos.
Enable observability, alerting, and feature releases backed by continuous integration and delivery (CI/CD).
Clients about our cooperation
See what our clients say about the way our team helped them leverage their business potential.
They don’t just write code, they think through projects to make sure they find the best solution. Because of their thorough researching processes, their deliverables consistently exceed expectations.
Michael Rodriguez
CEO, InnovateTech Solutions
We are happy to share our thoughts on how professional, committed, and flexible CIGen is. The team we have worked with is always respectful and organized. Listening is one of their biggest strengths, as every time we present an idea for improvement we receive many suggestions for its realization.
Justas Beržinskas
Co-Founder at Kloogo
Working with the CIGen team is a rewarding and satisfying experience. Professionally, they are smart experts committed to understanding your needs and bringing to life what you are looking for. I think they are warm and welcoming people. I am looking forward to working again with the CIGen team.
Andreas Mildner
Co-Founder and Manager at GenieME
We have been working with CIGen for a few years. Our close cooperation brings significant value and result. They think from a business perspective, meet time-lines and budget. We have completed several projects and continue working together. Happy to recommend!
Michael Nilsson Pauli
CEO & Co-founder at Kodexe
The team addresses concerns promptly and generally completes tasks on time. Moreover, they pay close attention to the client’s needs. They work hard and take ownership of their tasks, resulting in a truly smooth collaboration.
Nandu Majeti
CTO at Rocktop Technologies
CIGen delivered a high-quality coded mobile app, which satisfied our requirements. They communicated daily and asked only relevant questions to identify the key to the project development. We were impressed with their expertise.
Alexander Schultz
CEO at Third Act
Thanks to CIGen, we reduced our technical debt and received ample support for their strategic technical initiatives. The team has a great project management approach and always aims to improve their partnership with us. Moreover, their members are proactive and highly skilled.
Karl Otto Aam
CTO at Skytech Control
Fintech-savvy consulting
At CIGen, we understand the unique balance fintech companies must strike between innovation, compliance, and scale. Our team delivers software that meets evolving regulatory frameworks while enabling rapid product iteration.
We build with encryption, audit logging, RBAC, and consent management from day one — making it easier to meet frameworks like PCI DSS, GDPR, and SOC 2.
Fintech stacks often rely on 10–15 integrated vendors — we manage API orchestration, rate limiting, retries, and failover strategies with precision.
We design systems that process high-volume transactions with low latency, high fault tolerance, and real-time settlement visibility.
We help you handle sensitive financial data securely while enabling detailed user activity tracking and real-time operational dashboards.
Custom financial software develoment: FAQ
We aim to supply our clients with exhaustive information about the way we engage in partnership for ease of doing business and transparency. We’ve collected a few facts that help you understand our processes.
Fintech software development involves building secure, scalable, and compliant digital products for the financial services industry. This includes everything from neobanking apps to risk engines, payment systems, and data analytics platforms — often integrated with financial APIs and regulatory tools.
Yes — from MVP development to enterprise-ready platforms, we will tailor our approach to your growth stage, product vision, and funding roadmap.
AI enhances financial software by automating decisions, improving personalization, and reducing fraud risk.
Common applications include:
- Machine learning (ML) for fraud detection, credit scoring, and churn prediction
- Natural language processing (NLP) for chatbots, virtual assistants, and document parsing
- Deep learning models for advanced anomaly detection or investment forecasting
- Predictive analytics to forecast user behavior, revenue trends, or operational risk
- Recommendation engines to personalize product offerings based on user behavior
Natural Language Processing (NLP) improves communication, automation, and insight extraction in fintech platforms.
Popular use cases include:
- AI chatbots for balance inquiries, password resets, and transaction support
- Voice-to-text features in mobile banking apps or virtual assistants
- Automated document parsing for invoices, loan applications, and financial statements
- Sentiment analysis on customer feedback or market news
- Text classification to route user queries or detect compliance red flags
Machine learning helps fintech companies make smarter, faster decisions by learning from data patterns.
It is often used for:
- Risk-based pricing and dynamic interest rate adjustments
- Real-time fraud detection using behavioral and transaction data
- Customer segmentation to improve targeting and retention
- Credit scoring with alternative and traditional data sources
- Loan default prediction to improve portfolio performance
Yes, computer vision is increasingly used in identity verification, document analysis, and financial fraud prevention.
Examples include:
- ID verification by extracting data from passports, driver’s licenses, or selfies
- Check deposit automation by analyzing handwritten values and endorsements
- Expense management apps using receipt image parsing
- Biometric authentication via facial recognition in banking apps
- Anti-fraud tools analyzing signature mismatches or document tampering
Deep learning enables more advanced and nuanced decision-making in complex financial environments.
It powers:
- High-frequency trading algorithms based on time-series analysis
- Credit risk modeling with unstructured or sparse datasets
- Natural language understanding in voice assistants and sentiment engines
- Fraud detection models that uncover subtle patterns in large volumes of data
- Investment advisory bots that simulate market scenarios and customer goals
Yes, AI streamlines compliance through automation, accuracy, and continuous monitoring.
Use cases include:
- AML pattern detection for unusual transaction behaviors
- Regulatory reporting automation by extracting data across systems and formats
- Real-time risk alerts based on evolving thresholds or geographic factors
- Audit trail generation for all automated and manual actions
- GenAI summarization of lengthy policy documents or regulatory changes
Let’s build the financial software
your users will trust and
your business can scale with
