AI projects in finance rarely fail because of the model. They fail because the data is not ready, the result cannot be explained to a regulator, or the system cannot connect to the core platform.
DashDevs is a fintech AI development company with more than 15 years of experience in regulated finance. Our fintech AI development services give financial institutions AI solutions for fintech use cases such as risk assessments, fraud checks, and regulatory compliance. Unlike general AI vendors, we know how banks, lenders, and payment firms operate. We build AI systems with audit trails, human review, and clear data rules from day one. The result is AI that your risk team can trust and your regulator can review.
What we build
Fintech AI development services we provide
AI Strategy and Consulting
Our fintech AI consulting services help you pick the use cases with the best return, check your data, and set clear goals before any code gets written.
Fraud Detection and Transaction Monitoring
We build machine learning models that score each transaction in real time and flag unusual patterns, so your team reviews fewer false alerts.
Credit Scoring and Risk Assessment
We build scoring models and risk assessments that help lenders decide faster, with clear reasons behind each result.
Compliance Automation and Reporting
Our AI compliance tools support automating compliance work such as screening, case review, and reporting and keep a full audit trail for each decision.
Customer Support Assistants
We build AI-powered chat and voice assistants that answer account and payment questions and pass hard cases to your staff.
Document Intelligence for KYC and Lending
We read IDs, bank statements, and contracts with AI and send the data to your review team for checks.
Predictive Analytics and Forecasting
We build predictive analytics and data analytics tools for cash flow, churn, and collections, so teams act before problems grow.
Personalization and Next Best Offer
We build engines that suggest the right product or offer to each customer based on their financial data.
AI Integration with Core Banking and Payments
We connect fintech AI solutions to your core systems, payment rails, and data stores through secure APIs.
Focus
Who we build for
Banks and credit unions
Institutions that want to add AI in banking products and processes without replacing their core systems.
Lenders and BNPL providers
Teams that need faster credit decisions and lower default risk, with clear reasons behind every score.
Payment companies and EMIs
Regulated firms that need real-time fraud checks and AI in payments at high volume.
Fintech startups and scale-ups
Growth-stage companies that want to launch AI features fast and show value to customers and investors.
Fintech Core: a ready base for faster AI launches
Fintech Core is a composable banking platform, built from over a decade of delivery in regulated markets. AI works best when clean data and core services already exist. Fintech Core gives you ready ledgers, accounts, KYC, and payments, so a new AI fintech product can reach market in months rather than years and your team can add AI capabilities without losing control of the architecture.
Fastest route
Fintech Core — ready solution
Ready ledger, account, KYC, and payment modules give your AI models clean data and live services from the first week.
Best fit for
Teams under investor or licensing deadlines, first-time market entrants, and businesses that want a working AI product before committing to a full custom build.
Full ownership
Custom development from scratch
A system designed around your exact data model, model choices, and regulatory footprint, with no dependency on someone else's platform roadmap.
Best fit for
Institutions with established products, unique data or compliance needs across several jurisdictions, or long-term plans that justify full ownership of the codebase from day one.
In practice, neither path is universally better — the right choice depends on timeline, data readiness, regulatory scope, and how much control the business needs over its own roadmap. We help clients decide before committing to either one. Whichever path you choose, our fintech AI development services keep data, models, and compliance aligned from day one.
Addressing the risks AI buyers actually worry about
The concerns that show up when financial teams evaluate AI vendors — mapped to how we design, build, and hand over.
01
Data quality and privacy
AI is only as good as its data. We check data sources, remove personal data where needed, and keep your financial data inside approved systems.
02
Model accuracy and bias
We test every model on real cases and track bias, so results stay fair and correct as your data changes.
03
Explainability for regulators
Each decision comes with reasons that your team and your regulator can read. We keep logs of inputs, outputs, and model versions.
04
Regulatory compliance
We design with KYC, AML, data protection, and local AI rules in mind, so regulatory compliance is not a late surprise.
05
Integration with legacy systems
We connect AI features to your existing cores and data stores in stages, so current operations keep running.
06
Cost control
We start with one use case, prove the value, and then expand. We scope our AI development services to fit your budget, so you know what each model costs to build and run.
07
Post-launch monitoring and support
Models change as data changes. Our teams monitor performance, retrain models, and fix issues after launch.
Clients' stories
Data, risk, and analytics case studies
London, UKFintech
Investment platform with intelligent analytics
A fintech client needed a platform that could analyze portfolios, compare investment models, and guide user decisions with accuracy. DashDevs delivered portfolio diagnostics, model portfolio search, and secure authentication, built with Java, React, and Python data scripts.
A BNPL provider needed risk-based onboarding, flexible credit limits, and modern payments across several markets. DashDevs delivered risk scoring and decisioning, limit assignment logic, payments routing, and wallet enablement, built with Django and Kotlin.
Our fintech AI engineers have shipped AML, KYC, and payment systems under real regulatory review, so they know how financial data and rules work.
A track record under pressure
As an AI development company with deep fintech experience, we have launched over 100 fintech products, including live trading infrastructure that handles tens of thousands of transactions per second.
Security and compliance by design
We build audit trails, access control, and data rules into each AI system from the first sprint.
Fintech Core as an accelerator
Clients who need speed can use a production-tested platform instead of starting from a blank codebase.
Ready to move your fintech AI projectforward?
Whether you want to cut manual work, improve risk checks, or launch your first AI feature, a conversation with our team will show what is realistic for your data, budget, and regulatory scope.
These services cover the design, build, and launch of AI systems for banks, lenders, and payment firms. AI in financial services includes fraud detection, credit scoring, compliance checks, and customer support.
How long does a fintech AI project take?
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A first use case usually takes three to six months, depending on data quality and regulatory requirements. A project built on Fintech Core can reach market faster than a full custom build.
What determines the cost of AI development?
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Cost depends on scope, data readiness, the number of models, regulatory requirements, and whether the build starts from Fintech Core or from scratch. Our AI development services are scoped to fit different budgets and timelines.
Do you handle compliance requirements directly?
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Yes. Our teams build KYC, AML, and audit trail functions into each system and consult your compliance and legal teams. We also add controls such as human review and model logs, so decisions stay clear and easy to check.
Can you connect AI to our existing systems?
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Yes. We review your current stack first and design a secure path that keeps operations running. Our AI solutions for fintech connect through APIs to your core, payment, and data systems.
Should we choose Fintech Core or a custom build?
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It depends on your timeline, budget, and how much long term control you need over the codebase. We explain the trade offs directly instead of defaulting to one answer.
Who owns the models and data after delivery?
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Clients keep full ownership of the code, models, and intellectual property built for their project. Your financial data stays under your control.
What support do you provide after launch?
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Our teams monitor model performance, retrain models when data changes, and fix issues after launch. Support scope is agreed with each client based on their needs.
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