AI features with a measured accuracy
Retrieval, extraction or classification built against a held-out set from your own data, with a confidence gate so uncertain cases reach a human instead of shipping silently wrong.
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U01 · for SaaS platforms
You have a product team at capacity and a backlog item that keeps slipping because it is nobody's speciality.
Context
Software companies rarely come to us because they cannot build. They come because the thing they need next sits outside what their team does every day — an AI layer, a gnarly third-party integration, a data pipeline — and learning it in-house would cost a quarter they do not have.
The risk with outside help is that you inherit code nobody on your team understands. We work the other way: your conventions, your repository, your review process, and a handover that assumes we will not be here forever.
How it usually works
Most work for this kind of team follows this shape; the boxes change, the spine does not.
What we build
Retrieval, extraction or classification built against a held-out set from your own data, with a confidence gate so uncertain cases reach a human instead of shipping silently wrong.
Typed clients, retries, idempotency and alerting — so a partner API changing its response does not become a support ticket you find out about from a customer.
Tokens and components rather than one-off screens, so your team can build the next five screens without us.
Patterns
Other teams
Book a free process audit. We map one process with you and tell you whether it is worth automating, including when the answer is no.