We ship production AI.
Not slide decks. _

We price by scope and team composition, not by the hour. Typical engagements start with a fixed-fee discovery sprint (2–3 weeks) followed by a time-and-materials or milestone-based build. Retainers are available for teams we already know.

Three main shapes: (1) short AI strategy and readiness sprints, (2) full AI product builds from pilot to production, and (3) embedded AI pods that plug into your existing engineering org. All three include evals, guardrails, and observability as first-class concerns.

Strategy sprints land in 2–3 weeks. A production-grade RAG or agent system is usually 8–16 weeks from kickoff to first live cohort. We break every build into two-week milestones with working software at each checkpoint — no twelve-week black boxes.

A small, senior team: one tech lead, two to four engineers, and a product partner. No offshored juniors you have never met. The same humans are in your Slack on week one and week twelve.

You own the code, the prompts, the evals, and the data artefacts we produce. We work inside your cloud (AWS, GCP, Azure) and your VPCs when you need it. NDAs up front. We never train third-party models on your data.

All over — the majority are in the US, UK, Europe, and Singapore, with a growing APAC book. Our team spans overlapping hours with both the Americas and APAC. We have shipped for clients across more than a dozen countries and ten-plus industries.