Verifiable quality for high-stakes data
Proof of Quality
When an expert labels a scan, an auditor flags a vulnerability, or a model makes a call, PoQ answers the question every AI team asks: who reviewed this, and can the review be trusted? A panel of independent experts scores each item against your rubric, and the result is sealed as a permanent, auditable record.
What teams use PoQ for
Any time one person's opinion isn't enough, PoQ gets a group of experts to check the work and turns their answer into a score you can prove.
Labeling & annotation
Show your training data was checked
Prove that real experts looked at your training data, instead of just trusting a vendor who says they did.
AI & agent evaluation
Grade AI answers with a group, not one person
Check your model's answers and your agent's steps against your rules, using a group of reviewers instead of a single grader.
Expert & audit review
Turn expert findings into proof
Security checks, compliance reviews, and expert opinions become signed records a customer can trust.
Internal QC
Replace random spot checks
Swap messy, one-person reviews for a group that agrees on a score for every item.
How it works
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