
Voice Chat Web App Development for Real-Time Engagement
- 14 weeks
- 300+ users
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.
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.
The problem
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
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
Fill out the contact form below and schedule a free consultation call with our experts to discuss your idea.
Our experts will assess feasibility, provide insights, and share a cost & timeline estimate.
Once finalized, our team gets to work, turning your vision into a fully functional fintech product as required.
Why us
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.
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.
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.
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.
Strategy, prototype, build, launch, and post-launch support: one team, one accountability thread. No handoffs between agencies, no gaps between phases.
What clients say
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.

What distinguished RaftLabs from other providers was their fantastic ability to build real-time engagement-based products.
01 / 06
From compliance to customer experience: how AI improves speed, accuracy, and personalization at scale.
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.
Six steps from discovery to deployment, designed for financial regulations, existing systems, and long-term scale.
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.
Custom AI Development
End-to-end AI systems from model selection to production deployment.
AI Agent Development
Autonomous agents that take action inside your workflows.
Generative AI Development
LLM-powered products and content automation pipelines.
RAG Pipeline Development
Retrieval-augmented generation grounded in your proprietary data.
Stay on topic
Try it yourself
AI Project Cost Estimator
Stop guessing. Know your AI budget in 2 minutes.
Open the free tool10 Questions to Ask Before Hiring an AI Development Company
You have three quotes, three impressive demos, and three companies claiming they can build exactly what you need. Here are the 10 questions that cut through the pitch and reveal which company actually delivers.
Is your business actually ready for AI? (The honest assessment)
Most AI investments fail because teams skip the readiness check. This framework scores your data, team, and infrastructure before you spend a dollar.
AI development company vs. freelancer: Which should you hire?
A freelancer at $100/hour for three months looks cheaper than a $60K studio engagement - until you add the hidden costs of managing, reviewing, and replacing them.
Legal Software Development Company
Case management, contract automation, AI document review, and client portals for law firms and in-house legal teams.
AI for Ecommerce Software Development
AI features for ecommerce. Product recommendations, personalised search, dynamic pricing, demand forecasting, and AI-assisted content generation to increase conversion and average order value.
AI Chatbot for E-commerce
Custom AI chatbots for e-commerce: product discovery, order tracking, returns automation, FAQ handling, and live chat handoff with Gorgias, Zendesk, and Intercom integrations.
AI for Restaurants
Custom AI tools for restaurants: demand forecasting, dynamic menu pricing, waste reduction, customer sentiment analysis, reservation chatbots, and upsell recommendations.
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
We scope Fintech AI Development Services in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.
FinTech software hub
Custom financial software for lending, payments, and wealth management.
AI for FinTech
AI for fraud detection, document processing, and compliance intelligence.
Generative AI in finance
Financial document generation, analysis, and regulatory reporting AI.
Lending software development
Custom loan origination and servicing platforms.