Reliable evaluations
Run deterministic and model-graded checks against every AI response before it reaches production.
Evaluate every response, enforce policy, and catch regressions before your AI reaches customers.
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Trusted by AI teams at
One quality layer. Every AI workflow.
Move from scattered prompt testing to a repeatable quality system your whole team can trust.
Run deterministic and model-graded checks against every AI response before it reaches production.
Detect sensitive data, enforce brand rules, and keep risky outputs behind human approval.
Compare prompts and models against the same test sets with clear, decision-ready reporting.
Track failure patterns, regression risk, latency, and quality trends from one control plane.
Built for the full lifecycle
A single evaluation framework that fits your stack and grows with your product.
Add the SDK or API to any model, agent, or retrieval pipeline.
Choose built-in evaluators or create rules tailored to your product.
Run test suites before release and inspect live outputs continuously.
Turn failure clusters into actionable prompt, model, and data improvements.
Enterprise-grade controls protect sensitive AI traffic without turning quality assurance into another security exception.
“VerityLayer gave our team one shared definition of quality. We reduced evaluation time from days to minutes—and shipped with far more confidence.”
Maya Chen
VP Engineering, Northstar AI
14M+
outputs evaluated
67%
faster QA cycles
99.99%
platform uptime
See how VerityLayer fits into your models, workflows, and production standards.
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