What's included
Evaluation and attack coverage built around your real tasks and threat model.
- Evaluation set built from your real tasks
- Red-team campaign across injection, jailbreak and leakage
- Bias and fairness measurement where relevant
Solution · Evals & red-teaming
Independent proof that your AI behaves, before your customers find out
Most LLM features ship with no evaluation beyond a demo. We build task-specific evaluation sets, run adversarial and safety tests, and leave you with a release gate your team keeps running on every change.
Book an evaluationHow it works
Criteria first, then automated and manual testing, then triage with your engineers.
- Threat model and success criteria agreed first
- Automated and manual testing
- Findings triaged with your engineers
What you get
A fix list and a harness, not just a report.
- Scored findings with reproduction steps
- Fix recommendations ranked by risk
- Evaluation harness integrated in your CI
How we measure it
Before-and-after numbers your release process can enforce.
- Pass rate on the eval set before and after fixes
- Severity and count of open findings
- Regressions caught per release
Tell us the problem. We'll tell you if AI is the answer.
A 30-minute call, no deck, no obligation.