AI software that runs in production.
ML in the core path, observability built in, and a release plan that survives contact with real users and real data.
Production AI software is not a notebook with a UI. It is a system that handles model latency, data drift, retry logic, and the long tail of edge cases users will find in week two.
We start with the failure modes — what happens when the model is wrong, when the input is malformed, when the data pipeline is late — and design backwards. The application that ships has graceful fallbacks because we wrote them on day one.
From a 12-week MVP to a multi-year platform, the same engineers stay on the work until the metric you care about moves.
The specifics, by service.
AI App Development
Mobile and web apps with ML in the core path — designed for inference latency and the ship date.
Read the briefAI Product Development
Validated problem to live product. Strategy, UX, ML, and engineering on one team.
Read the briefAI Agent Development
Agents that plan, call tools, and finish the task — with audit trails on every decision.
Read the briefPick the work. Set the date. Ship.
Tell us the system you need, the constraint that’s blocking it, and the date you want it live. We’ll come back with a scoped plan inside one business day.