Fintech

AI agents for fintech

Agents in financial products, where the output is not the deliverable — the reason you can show a regulator is.

Why this one is different

In fintech you need to reconstruct, months later, what the system saw, what it decided, and why. That requirement shapes the architecture from the first commit. It is close to impossible to retrofit onto something that wasn't built for it.

What we build

Document extraction and reconciliation

Statements, invoices, and KYC documents into structured records — with per-field confidence and the source region retained, so a disputed value points back at the pixel it came from.

Monitoring support

Surfacing the cases worth a human's attention along with the evidence for why, instead of a score nobody downstream can interrogate.

Servicing operations

Agents that handle the repetitive half of customer servicing and stop cleanly at anything requiring a licensed human.

What has to be right

Traceability, not just accuracy

Every retrieval, tool call, and model response is logged with its inputs. Deterministic paths where the rules are known; generation only where it's safe to generate.

Other segments

B2B SaaS Developer tools Healthtech E-commerce & marketplaces