From criteria to clearance — the full evaluation journey
Built for AI product teams navigating governance clearance — without slowing down delivery.
Criterion Builder
Map stakeholder personas and policies to measurable evaluation criteria — so every run is grounded in what actually matters.
Evaluation Datasets
Build and version golden datasets that reflect real-world edge cases, ready to reuse across evaluation runs.
Automated Pipeline
LLM-as-Judge scoring at scale with configurable rubrics per criterion — automated across your full evaluation dataset.
Human-in-the-Loop Review
Annotate a subset of responses to establish ground-truth labels — used to measure LLM judge reliability and validate automated scoring.
Compliance Reports
Auto-generate governance documentation from evaluation results — directly supporting AI clearance submissions.
Post-Deployment Monitoring
Track production drift and safety signals in real time so governance doesn't stop at clearance.
Common questions from AI product teams getting started with evaluation.
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