Sapien

Sapien builds Proof of Quality, a review system for data and model output that has to stand up to scrutiny. It answers a narrow question AI teams keep running into: who reviewed this item, and can that review be trusted. Instead of a single grader signing off, a panel of independent experts scores each item against a rubric you define, and the result is sealed as a permanent, auditable record. The documented use cases follow from that design. Labeling and annotation teams use it to show that qualified reviewers actually checked their training data, rather than trusting a vendor who says they did. Model and agent evaluation grades answers and agent steps against written rules using a group of reviewers instead of one judge. Expert and audit review turns security checks, compliance reviews and specialist opinions into signed records a customer can verify. Internal quality control replaces scattered one person spot checks with a group that agrees on a score for every item. The workflow stays the same throughout: you set the rules, a panel checks the work, and you receive a signed report anyone can verify independently. The records are anchored on Base mainnet and the contracts behind them are published for inspection, which is what turns a score into portable evidence rather than an internal number. The documentation includes a quickstart and an assistant that answers questions about the system, and it is aimed at teams buying or producing high stakes labeled data, evaluating models and agents, or needing to prove the rigor of a review to a customer or regulator. No pricing is published for the platform, so commercial terms are arranged with the company directly.