AI Agent Evals & Red-Teaming
We test AI agents before they ship - evals, regression harnesses, and red-team reports
contact us nowReadiness Assessments
Trace review, a failure taxonomy, a starter eval set and a ranked go/no-go. Evidence for the launch decision, typically inside two weeks.
Eval Suite Engineering
A regression harness with trajectory and tool-call evals, calibrated judges and CI gating, built as code in your repo.
Agent Red-Teaming
Structured adversarial testing: injection via tool outputs, authorization probes, exfiltration paths, unsafe tool use. Replayable cases plus a retest.
Staff Augmentation
Senior evals and reliability engineers embedded with your team, under your direction, for as long as the work needs.
Agentic evals, not chatbot scoring
We grade the trajectory: did the agent call the right tools, with the right arguments, in a sane order, and stop when it should? Single-turn output scoring misses most agent failures.
US Based
Senior engineers in the United States who have built and run their own agent harnesses. No hand-off to a junior bench or an offshore team.
Onsite or Remote
Most engagements run remote against your repo and trace store. When sitting with your team helps, we do that too.
Your tools, your repo
We build on Langfuse, Promptfoo, Braintrust, OpenTelemetry or plain pytest, whichever you already run. Everything we build lands in your repository, not ours.