Fintech

Fintech software carries a different weight than most categories: a bug in a dashboard is an inconvenience, a bug in a ledger is an incident. That changes how we approach the work — more emphasis on data integrity, auditability, and predictable system behavior, less tolerance for "we'll fix it in the next sprint."

Common engineering needs in this space: reconciliation systems that catch discrepancies before they compound, document and transaction processing pipelines that need to be both fast and defensible, integrations with banking and payment infrastructure that have to handle failure modes gracefully, and internal tooling for compliance and operations teams who are otherwise stuck in spreadsheets.

Intelligent document processing is particularly relevant here — financial operations still involve a lot of PDFs, statements, and semi-structured documents that get processed manually today. We build ingestion and extraction pipelines with human review built in at the right points, not AI output going straight into a ledger unchecked.

We do not claim specific regulatory certifications unless we hold them for a given engagement — that's a conversation we have directly, scoped to what you actually need.