AI development for fintech
We build AI for US fintech companies: fraud and risk scoring, underwriting copilots, KYC/AML automation, and customer-facing financial assistants. Auditable, explainable, and built to survive a compliance review.
No sales script. You talk to the engineers who'd build it.
Our team works a shifted day so you get real-time standups and same-day turnarounds across US time zones, not next-morning replies.
Every line of code, model weight, and prompt is yours from day one. NDAs and clean IP assignment are standard, not an upsell.
You work directly with the engineers building your system. No account managers sitting between you and the people writing code.
We move from scoping to a working system in production in weeks. Most engagements ship something usable inside the first month.
What we build
Concrete systems we ship, tuned to your data and your stack.
Fraud & risk
Models and agents that flag anomalies in transactions and surface the reasons behind each score.
Underwriting copilots
Pull together applicant data and policy rules so analysts decide faster with a clear paper trail.
KYC / AML automation
Document verification, sanctions screening, and case summaries that cut manual review time.
Financial assistants
In-app copilots that answer account questions and never invent a number they can't cite.
How we work
Scope & evals
We pin down what success means and build the evaluation set before writing the feature, so quality is measured, not guessed.
Build in the open
Weekly demos against real data. You see progress every week and can change direction before it gets expensive.
Ship & instrument
We deploy with logging, cost tracking, and guardrails in place, then tune against production traffic.
Hand off or stay
Take the keys with full docs, or keep us on for iteration. Either way you're never locked in.
Questions, answered
Can your AI decisions be explained to regulators?
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Yes. We build for explainability: every score or recommendation carries the evidence and rules behind it, and decisions are logged for audit. No unexplained black boxes in the approval path.
How do you prevent the model from inventing numbers?
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Financial figures come from your systems of record, not the model. The model reasons and explains; the numbers are retrieved and verified before they reach a user.
Do you handle SOC 2 and data residency requirements?
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We work inside your cloud and your controls, support data residency constraints, and produce the documentation your SOC 2 auditor will ask for.
Can you integrate with our existing core banking stack?
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Yes. We integrate over your APIs and event streams rather than asking you to migrate. The AI layer sits on top of what you already run.
Let's scope your build.
Tell us what you're trying to ship. We'll tell you honestly whether AI is the right tool and what it would take.
Start the conversation