Name the constraint. We will tell you what to ship past it.

Ambitious teams on two tracks. Funded startups — typically post-seed and up — who just raised and need to execute fast without standing up a full team; and enterprises moving to defend or extend a competitive edge. The common thread is a real mandate, a named outcome worth a partnership, and a team ready to move with us. Regulated industries are our deepest specialty — healthcare (HIPAA, FDA 510(k), IEC 62304), mobility (ASPICE, ISO 26262), IoT (IEC 62443, NIS2), logistics — and the gate is ambition and mandate, whatever your stage or logo.

The unit of sale is a deployed outcome. We embed as a Forward Deployed Engineering team — owning the architecture, the model evaluation, the production runbook (and, in regulated work, the compliance evidence) your internal team will inherit. Every milestone is tied to a named outcome — a state-change you can verify. If the outcome doesn't land, we re-engage until it does.

We keep a small portfolio so every engagement gets senior engineers, and the fits share three things: a real mandate, an owner who can decide, and an outcome worth going deep on — startup or enterprise. In regulated work the bar is even higher: a model that quietly fails in production means recall risk or audit findings, so we staff people who have actually shipped through HIPAA, FDA, ASPICE, IEC 62443, or NIS2 review.

We work in three structures, and we size the investment to your stage and the outcome — named on a call, not anchored to a price list. (1) Deployment Bootcamp — a fixed-fee sprint on your real data that ends with a deployable architecture, an evaluation plan, and an honest go/no-go. (2) Deployment Pod — a senior pod embedded month to month, scoped to one named state-change. (3) Outcome Contract — fixed-fee tied to a binary result, for teams we've already shipped with. No hourly billing, no time-and-materials, no headcount math: the price is set by the outcome and the risk we carry, because most of what you're buying (the evaluation harness, the continuous-verification pipeline, the compliance automation) never shows up on a rate card. The engagement model is laid out on our studio model page, and we put exact numbers on the table in the first call.

We open one to two pod slots per quarter. Bootcamps move faster — most start within 2–3 weeks of the first call. The Bootcamp itself doubles as our scoping phase: by the end you have a deployable architecture, an evidence map, and an honest call on whether a Pod or Outcome Contract is the right next step. The work itself starts on day one.

Bootcamp is the safety valve. If we don't see a path to a deployed outcome by the end, we tell you — and you keep the architecture, the evaluation plan, and the evidence map. Ongoing engagements have clean exit points at each phase boundary — you leave with everything we built, and the IP is yours from day one.