Scenario generation
Edge cases generated across 12 risk dimensions, tuned to your domain.
Stop hallucinations before customers find them
“Your AI assistant answers confidently and wrongly, and you only hear about it from customer complaints, not from your test suite.”
QAVE simulates thousands of adversarial conversations across 40+ persona archetypes before every release, flagging hallucination, inconsistency, and unsafe outputs with 18 failure-mode classifiers.
How we approach it
Multi-turn simulation
Persona-driven conversations that probe the failure modes single prompts miss.
Release gating
Eval scores wired into CI/CD: a release candidate that regresses never ships.
Measured outcomes
+40%
Defects caught pre-production
-60%
Post-launch AI incidents
Related use cases