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
01
Scenario generation
Edge cases generated across 12 risk dimensions, tuned to your domain.
02
Multi-turn simulation
Persona-driven conversations that probe the failure modes single prompts miss.
03
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