Fintech AI Development Services

Fraud models that flag last year's attack patterns but miss the novel schemes your risk team is seeing now. Credit decisions taking 72 hours because underwriters manually review applications a scoring model should handle in seconds. Compliance teams manually checking transactions that a properly-deployed AI should surface automatically. RaftLabs is an AI-first tech studio that builds AI systems for fintech and financial services end to end: fraud detection, credit decisioning, document processing, risk monitoring. One team handles design, code, and launch, with the compliance-aware architecture (PCI-DSS, GDPR, SOC 2) that financial software requires. Fixed price. Production-ready.

See our work
  • Fraud detection, credit decisioning, and risk monitoring built for financial-grade compliance

  • PCI-DSS, GDPR, and SOC 2 architecture designed in from the start

  • Fixed price, working model in production, not a notebook that can't integrate

Recent outcomes

Fraud detection · US lending platform

60% fewer manual reviews

Built a real-time fraud scoring API that reduced manual review queue by 60% in the first month after launch.

Conversational AI · Fintech SaaS startup

70% queries automated

Deployed an AI chatbot handling onboarding, KYC queries, and support. Cut routine query volume by 70% in 12 weeks.

AI OCR · Financial document processing

20,000+ daily transactions

Replaced a manual data-entry workflow with an AI OCR pipeline processing 20,000+ daily transactions with zero manual errors.

4.9 / 5 on ClutchSee our work

The problem

Sound familiar?

  • Fraud model detecting last year's attack patterns but missing novel schemes your risk team flags manually, because the training data ended when the deployment started?

  • Credit decisions taking 48-72 hours because underwriters review applications that a scoring model should handle in seconds, and the backlog grows faster than the team can clear it?

The short answer

RaftLabs builds fintech AI systems end to end for clients across the US, UK, Europe, Canada, GCC, South Africa, and Southeast Asia. Fraud detection, credit decisioning, and document AI with PCI-DSS, GDPR, and SOC 2 compliance built in. Fixed price. 20+ fintech products shipped since 2015.

Key Takeaways

  • RaftLabs has shipped 20+ fintech products since 2015 for clients in the US, UK, and Australia.
  • All fintech AI systems are built with PCI-DSS, GDPR, and SOC 2 compliance designed in from the start.
  • Fixed price engagements with a working model in production, not a proof-of-concept notebook.
  • A real-time fraud scoring API reduced manual review queue by 60% in the first month after launch for a US lending platform.
  • An AI chatbot cut routine query volume by 70% in 12 weeks for a fintech SaaS startup.
  • An AI OCR pipeline processes 20,000+ daily transactions with zero manual errors, replacing a manual data-entry workflow.

FinTech software, by the numbers

fintech products shipped
20+
average time from kick-off to first production release
12 weeks
rated by clients on Clutch
4.9/5
fewer manual fraud reviews after real-time scoring launch
60%

According to Gartner's 2025 AI in Finance Survey, 58% of finance functions were already using AI in 2024, up from 37% the year before — and over 70% of financial institutions are projected to operate AI at scale by the end of 2025. For fintech teams building fraud detection, credit decisioning, and compliance tooling, that adoption curve means the question is no longer whether to deploy AI but how fast you can get a production-grade system running without regulatory exposure.

Services

Our fintech AI development services

We design and build AI fintech apps that solve real business problems. Everything is tailored to your needs. No generic platforms. No bloated features. Just smart, clean products that support growth and cut manual effort.

  • 01
    Custom AI Fintech App Development

    We build custom full-stack fintech apps like digital wallets, trading dashboards, and lending platforms that automate workflows, surface insights, and power decision-making, matched to your business objectives.

  • 02
    MVP Development for Fintech Products

    We turn your fintech idea into a working Minimum Viable Product (MVP) that's ready for real-world use, building essential features first so you can validate market fit and scale with confidence.

  • 03
    Intelligent Chatbots and Virtual Financial Assistants

    We create AI chatbots that handle onboarding, support, and financial advice: fast, accurate, and available 24/7, reducing your support load and improving the user experience across every touchpoint.

  • 04
    Fine-Tuning Large Language Models for Finance

    We customize Large Language Models to work with your specific financial workflows, training them on your internal data and terminology to improve tasks like document classification, fraud detection, and client interactions.

    Built with
    LLM fine-tuning
  • 05
    AI Agent and Copilot Development

    We build intelligent AI agents and copilots designed for fintech workflows, automating financial tasks, analyzing data, and supporting users in real time to boost productivity across your teams.

  • 06
    AI Fraud Detection and Prevention

    We build intelligent fraud detection systems that operate in real time, identifying suspicious behavior, blocking fraudulent transactions, and continuously learning from new threats without disrupting the user experience.

  • 07
    Generative AI for Fintech Innovation

    We develop GenAI systems using advanced models like Claude to build tools for financial advisory, risk prediction, and portfolio insights, automating complex decisions and bringing intelligent features to your fintech products.

    Built with
    Claude
  • 08
    mPOS (Mobile Point-of-Sale) Solutions

    We design mobile checkout tools that think on the fly: voice commands, smart inventory prompts, customer insights, and fraud detection, packed into a clean, simple interface for fast-moving retail.

  • 09
    AI-Driven Customer Experience Platforms

    We build platforms that personalize user journeys, so every interaction from product recommendations to automated support gets smarter over time, driving better engagement and higher retention.

Process

How to get started

  1. Step 01
    01

    Get a Free Consultation

    Fill out the contact form below and schedule a free consultation call with our experts to discuss your idea.

  2. Step 02
    02

    Get Your Cost Estimate

    Our experts will assess feasibility, provide insights, and share a cost & timeline estimate.

  3. Step 03
    03

    Build & Launch

    Once finalized, our team gets to work, turning your vision into a fully functional fintech product as required.

Why us

Why fintech teams choose RaftLabs

  • 01
    Senior engineers build what they scope

    The engineers who assess your fintech AI requirements also build the system. No offshore handoff after the contract is signed. The lead engineer who demos the prototype ships it to production.

  • 02
    Compliance designed in from sprint one

    AML, KYC, SOC 2, and PCI-DSS requirements are scoped in week 1, not retrofitted at the end. We have shipped SOC 2-compliant systems for US financial services clients and GDPR-compliant products for European markets.

  • 03
    9 years and 100+ products shipped

    Clients include Wells Fargo and major lending, payments, and wealth management firms. Track record building AI for document automation, fraud detection, loan underwriting, and customer intelligence.

  • 04
    Fixed price before development starts

    We scope the fintech AI build, calculate the cost, and lock it in writing before any development begins. A scope change is a change request: priced and agreed before work starts.

  • 05
    One team from strategy to post-launch

    Strategy, prototype, build, launch, and post-launch support: one team, one accountability thread. No handoffs between agencies, no gaps between phases.

What clients say

What our clients say about us

Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.

Georgina D.
Georgina D.
United Kingdom flagUnited Kingdom
CEO & Co-Founder,People Supported Technologies

What distinguished RaftLabs from other providers was their fantastic ability to build real-time engagement-based products.

01 / 06

AI use cases across fintech segments

From compliance to customer experience: how AI improves speed, accuracy, and personalization at scale.

01 / 06

Neobanks & Digital Wallets

Simplify user onboarding, automate KYC and AML checks, and personalize every step of the journey. Verify identities faster, deliver relevant offers in real time, and keep users engaged while staying compliant.

Our fintech AI development process

Six steps from discovery to deployment, designed for financial regulations, existing systems, and long-term scale.

01 / 06

1. Discovery and Strategy Alignment

We begin with a focused consultation to understand your business model, user flows, and regulatory requirements. This targets the areas where AI can create the most value: risk analysis, automation, or customer engagement.

Deliverables: project brief, initial roadmap, requirements document.

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Frequently Asked Questions

The timeline to develop a custom fintech AI product depends on your goals and scope. For an MVP (Minimum Viable Product), you can expect a launch-ready version within 6 to 8 weeks. This typically includes a web or mobile app with the core AI functionality, focused on one or two key features and a simple user interface. It's ideal for internal testing or early adopters, with budgets ranging from USD 10,000 to 20,000. If you're aiming for a full-featured, market-ready product, the process takes around 12 to 14 weeks. This includes mobile apps for iOS and Android, a reliable web platform, AI logic, third-party integrations, and custom design. Budgets for full-scale products usually range from USD 20,000 to 60,000.

Yes. We specialize in adding AI layers to existing systems without disrupting current workflows. Whether it's integrating credit scoring models, fraud detection, or predictive analytics, we deliver smooth compatibility with your tech stack and user flows.

Security is built into everything we develop. We follow best practices in data encryption, secure APIs, user authentication, and regulatory compliance. Your customer data and business logic stay protected, always.

AI helps automate decisions, cut down manual effort, and improve customer experiences. It can analyze credit risk in seconds, personalize user journeys, detect fraud in real-time, and reduce operational costs. You get more insight, more efficiency, and a better product overall.

AI reduces costs by automating what used to take teams of people. KYC checks, document reviews, and support queries handled by AI free your team for higher-value work. Real-time fraud detection reduces chargebacks and financial risk. AI chatbots handle 24/7 support without adding headcount. Predictive analytics helps allocate budgets and loan limits more accurately. On average, AI can reduce operating costs by 20-40% depending on the use case. The more manual your current process, the bigger the impact.

Yes. We sign NDAs before any project discovery call where proprietary business logic, financial data structures, or regulatory documentation is shared. Confidentiality is standard on every engagement, not a negotiated add-on.

Work with us

Tell us what you need. We'll tell you what it would take.

We scope Fintech AI Development Services in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.