AI Development for
Fintech.
Money is the most regulated, conversion-sensitive product on the internet. Every click loses or earns trust. Vedwix builds ai development for Fintech companies — with the compliance posture, KPI awareness, and operational shape your category demands.
Brief us on AI workWhat we know about Fintech.
- SOC 2
- PCI DSS
- GDPR
- Local KYC/AML
- Activation conversion
- Time to first transaction
- CAC payback
- Slow onboarding flows that bleed users
- Regulatory friction shipping new product
- Fraud arms-race with weaker tools than competitors
Three use cases we ship.
AI underwriting and risk scoring
We build AI features that ship to real users — not demos. For fintech, that means designing for SOC 2, measuring against Activation conversion, and avoiding the slow onboarding flows that bleed users that plague the category.
Document automation for KYC
We build AI features that ship to real users — not demos. For fintech, that means designing for SOC 2, measuring against Activation conversion, and avoiding the slow onboarding flows that bleed users that plague the category.
Fraud detection agents
We build AI features that ship to real users — not demos. For fintech, that means designing for SOC 2, measuring against Activation conversion, and avoiding the slow onboarding flows that bleed users that plague the category.
AI Development,
fintech-aware.
We don't pretend every project is the same. Fintech has its own compliance, KPIs, and unwritten rules. We bring those in from day one.
Start a projectWhat you get.
- RAG system with hybrid search
- Eval harness + observability
- Agent orchestration
- Fine-tuning + serving
- Internal AI tooling
We build AI features that ship to real users — not demos. RAG systems with hybrid retrieval, agents with structured outputs, fine-tuned small models, and eval harnesses that measure quality before and after every change.
Examples of Fintech companies in this space: Stripe, Revolut, Nubank.