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// Industry

Fintech AI development

AI for fintech — document intelligence, automation, and decision support that hold up to an audit, not just a demo.

// The problem

Why this is hard

Fintech runs on documents and decisions that have to be right and defensible. An AI that extracts a number wrong, or can't show why it decided what it did, is worse than none — it's a liability. The engineering that matters is accuracy you can measure, guardrails on every action, and an audit trail the compliance team will accept.

// What matters here

The capabilities that move the needle

// Deep dives

Going deeper for fintech

// Proof

Shipped in production

FintechDocument intelligence

manual review

-82%

vs. the fully-manual baseline

throughput per analyst

3.5×

vs. the pre-automation baseline

Read the case study

// FAQ

Common questions

We hold out a labelled eval set and score every prompt and model change against it, so accuracy is a number you can report and regression-check — not a claim. Low-confidence extractions route to human review.

Yes — inputs, retrieved sources, model version, and output are traced per decision, so a reviewer or regulator can reconstruct exactly what happened.

We design for least-privilege access and can run models in your environment or use providers under your data terms, so sensitive data isn't sent somewhere it shouldn't be.

// Related

All industries

// Let's build

Building AI for fintech?

Tell us where you are. We reply within a day with a concrete next step.