Every engagement is scoped around an outcome you can measure, and delivered by engineers who have shipped this kind of thing before.
LLM features, retrieval systems, and data pipelines built to survive production. Evaluation, monitoring, and cost controls come with them, so you can always tell whether the thing is working.
Teams whose AI prototype now has to become something customers rely on.
From first conversation to a launched product in 30 days. A proven starting codebase, senior generalists, and a demo every week keep the scope tight and the build moving.
Founders who need something real in front of users this quarter.
We take the whole build: architecture, delivery, deployment, and the scaling work that follows. Your team stays on customers and growth.
Products past the MVP stage that need a senior team to own the build.
Senior, English-fluent engineers who join your team and your standups. They work your hours, and they are productive in week one.
Teams whose roadmap outgrew their headcount and cannot wait out a hire.
MVPs and AI builds are scoped, priced, and scheduled before we start. You know what ships, when, and what it costs, and a weekly demo shows you where it stands.
Senior engineers join your team at a monthly rate, working your hours in your tools. The first week is free, so you can test the fit on real work before you pay.
