Process

Design it. Prove it. Ship it.

How we build AI that survives contact with production. Three phases, about six weeks to first ship, then hardened. Every claim is scored by a separate judge model — receipts, not adjectives. See the inference log for the work behind it.

01Week 1

Discover

We scope the wedge — the one workflow where AI has to earn its keep — and decide up front what "good" means. That includes the model call: frontier API for speed, or open weights on a box you own for cost and control. Then we write the eval criteria before we write the agent.

Included

Scope the wedge — the workflow that matters
Model decision: frontier API vs open weights on your box
Own-it call: what leaves the building, what stays
Eval criteria defined before the build
Independent judge and pass/fail bar agreed
Success metrics tied to money, not vibes
02Weeks 2-5

Build

We build the real thing — the RAG pipeline, the agent loop, the fine-tune — with a working demo every week. The independent eval harness is wired in from day one, so every change is scored by a separate judge model, not graded by the people who wrote it.

Included

RAG / agent / fine-tune build
Independent eval harness wired in day one
A separate judge model scores every change
Weekly demos against the eval bar
Distillation and LoRA/QLoRA where open weights fit
Real-time Slack — no surprises at the end
03Week 6+

Ship & harden

Deployment is where most AI dies. AI writes code at warp speed — so this is where we slow down to speed up: read what shipped, test the edges, and gate every release behind the independent judge, with retries, fallbacks, and safety guardrails. Then we harden for cost and latency — roughly 52% cheaper and 74% faster on real workloads. Crisis and edge paths route to a human. When we ship, it stays shipped.

Included

Slow down to speed up — nothing ships unread or unproven
Production deploy with retries and fallbacks
Independent-judge gating on every release
Safety guardrails and crisis paths routed to humans
Cost hardening — ~52% cheaper, quality held
Latency hardening — ~74% faster

Principles

What guides our work

Design it

Frontier-level systems on hardware you control. No per-token bill that scales against your success, no data leaving the building.

Prove it

Every claim is checked by a separate judge model. We trust nothing unmeasured — not vibes, not self-grading, not our own opinion.

Ship it

Into regulated, money-on-the-line reality — not demos. Retries, fallbacks, and human-in-the-loop where the regulator requires it.

Transparent

Open communication builds trust. Weekly demos against the eval bar mean you always know exactly where things stand.

Ready to start?

Tell us the wedge and we'll scope the model, the eval, and the ship together.

Start a project →