Evals & red-teaming
Measure your AI, then try to break it.
Eval suites that score quality on your real tasks, regression tests that run on every change, and red-teaming that probes for jailbreaks, prompt injection and data leaks before anyone else does.
Typical timeline: 3–6 weeks
Capabilities
What's included
- Eval datasets built from real tasks and edge cases
- Scoring with rules, reference answers and LLM-as-judge, checked by people
- Regression tests in CI for prompts, models and pipelines
- Red-teaming for jailbreaks, prompt injection and data leakage
- Quality dashboards tracking accuracy, cost and latency over time
- A written findings report with prioritised fixes
How we work
From brief to live
- 01
Define
2–4 daysWhat good looks like for each task, and the risks that matter most.
- 02
Build
1–3 weeksEval sets, scorers and CI checks wired into your pipeline.
- 03
Attack and report
1–2 weeksRed-team rounds, a findings report and fixes verified against the evals.
FAQ
Good to know
Yes. Evals and red-teaming work on any system we can call, whoever built it.
Only when it is checked. We calibrate judge scores against human-reviewed samples and use rule-based checks wherever a rule will do.
Have something in mind?
Send a short brief or book a 20-minute call. We reply within one working day.