Fintech AI

AI implementation for companies where getting it wrong has legal consequences

AI development for fintech and financial services. Built by someone who's shipped financial platforms, not someone who's read about them.

01 — The situation

Your team is good. They're also fully allocated.

You need AI capabilities. AML automation. Document processing. Credit risk models. Intelligent customer workflows.

But your team is fully allocated on the core product. You can't wait 6 months to hire an ML engineer. And you definitely can't afford to ship something that fails a compliance review.

You need someone who can build the AI system AND understands that in financial services, a wrong prediction isn't just a bad UX — it's a regulatory event.

02 — What we build

AI systems built for regulated environments

AML/KYC automation

Transaction monitoring, sanctions screening, PEP checks. Reduce false positives without increasing compliance risk. Built with audit trails from day one.

Document processing

Loan agreements, contracts, regulatory filings. Intelligent extraction with human-in-the-loop validation. Because in financial services, "mostly right" isn't good enough.

Internal knowledge systems

RAG over compliance docs, policy manuals, regulatory guidance. Your team's own AI-powered compliance assistant — with source attribution and access controls.

AI agent workflows

Multi-step processes that handle the messy middle of financial operations. Customer onboarding, claims processing, regulatory reporting — with audit trails built in.

Credit risk & underwriting intelligence

ML-assisted decisioning that satisfies explainability requirements. Because your regulator will ask "why did the model make this decision" — and you need to have an answer.

03 — Why us

We've built financial platforms. Not just AI demos.

$120M+
processed in month one of a financial platform we built
20+
companies built at the venture studio across fintech and regulated industries
30+
years building technology — including financial systems, AI products, and regulated platforms

We build with compliance in mind from day one — not as an afterthought. AML, KYC, SOX, explainability requirements — these are baked into our architecture decisions, not bolted on after the fact.

04 — Engagement options

Clear scope. Clear pricing.

AI Audit for Financial Services
$10,000

Current state assessment, opportunity identification, compliance-aware roadmap. Delivered in 10 business days.

Quick-win implementation
$15,000 – $30,000

A scoped AI capability — working system in 4-6 weeks. Proof of concept to production for a specific use case.

Ongoing advisory
$10,000 – $15,000/mo

Fractional AI leadership embedded with your team. Strategic direction, architecture review, and vendor evaluation.

Tell us what you're building.

30-minute call. We'll discuss your use case, your compliance requirements, and whether we're the right fit.