We Build AI Agents That Ship to Production
From scoping to deployment — we design, build, and operate agentic systems that automate real workflows, integrate with your stack, and survive production traffic.
Five practices. One engineering team.
How we work
Most agentic projects fail at scoping, not engineering. We spend the first weeks understanding the workflow you want to automate, ship a prototype on a single slice, and only expand once the eval suite proves it works.
- 01Discovery
Stakeholder interviews, workflow inventory, build/buy/wait recommendation.
- 02Prototype the core loop
One workflow, one agent, one eval suite — end-to-end before scaling out.
- 03Production rollout
Behind feature flags, with tracing, evals, and cost telemetry from day one.
- 04Iterate on signal
Weekly review of evals, traces, and cost. Ship changes against the harness.
The kind of engineering partner you actually want in your standup.
Every engagement is led by senior engineers who've shipped agents to production — not staffed with juniors after the pitch.
We write evaluations before we write the agent. Every iteration is measurable, and 'looks fine' is never the quality bar.
Demos are easy. We scope toward the smallest production deployment that proves the thesis — and stay on for the iteration.
Anthropic, OpenAI, open-weights — we'll tell you which is right for your case, even when it's the one we don't already know best.
We don't build prototypes.
We ship production systems.
Outcomes from recent engagements.
Ready to build something great?
Tell us about your roadmap and we'll come back with a clear next step within two business days.