Agents that earn their keep.
Most AI initiatives die as demos. Ours ship as employees: autonomous systems that reason, plan, and execute inside your core operations — evaluated, observable, and accountable for outcomes.
What we deploy.
Agent Fleets
Squads of autonomous agents that decompose work, call your systems, and check each other — supervised orchestration, not chatbot theater.
Evals & Guardrails
Every agent ships with a harness: graded evaluations, behavioral limits, and full decision provenance. If it can't be measured, it doesn't ship.
LLM Operations
Model routing, context engineering, and inference economics — the unglamorous plumbing that decides whether AI compounds or bleeds money.
Applied Strategy
We rank your candidate use cases by expected value and kill the weak ones early. The roadmap is a portfolio, not a wish list.
Audit
Two weeks inside your operation. We map where judgment is cheap, repetitive, and expensive to staff.
Pilot
One narrow, high-value workflow. Real data, real users, a kill switch, and a scoreboard.
Harden
Evals become gates. Guardrails become policy. The agent earns wider scopes by passing them.
Scale
From one workflow to a fleet — with your engineers trained to own it. We build ourselves out of the job.
The question is no longer whether AI can do the work. It's whether you can trust it, govern it, and prove it — that is the part we actually build.
Have a workflow
in mind? Good.
Bring the ugliest one. Thirty minutes, and you'll know if it's agent-shaped.