01 / ai features
AI that earns its place in your product.
Most AI pilots die as demos. We build features grounded in your data, measured with evals, and shipped behind human-review rails — so they survive contact with real users.
Search, copilots, and automations — on your data
RAG search over your docs and tickets. Copilots that draft, summarize, and suggest inside your existing workflows. Automations that take the repetitive work off your team — each with accuracy reports you can read and costs you can predict.
A scoped pilot, in your repository
We start from one painful workflow, scope it in writing, and build against your real data — in your repo, behind your auth, with evals running from the first week. You see what works and what doesn't before anything goes near production. When it ships, your team gets the code, the evals, and the docs to keep it running.
Related: product audits · MVP builds