Sapien builds Proof of Quality to expedite AI evaluation in robotics

Sapien: Sapien develops Proof of Quality, a verification layer and evaluation system for AI work that combines human experts and AI agents to score data against user-defined rubrics and produce verifiable reports. It focuses on making quality judgments in AI data pipelines auditable and consistent, particularly for applications like robotics training data. In the reported news, Sapien built the system to address slow evaluation stages in robotics programmes by establishing rubrics and methods upfront, enabling rapid pilots and timely Proof Reports. Proof of Quality: Proof of Quality, or PoQ, is Sapien's evaluation system that lets users define quality rubrics, assembles validator panels of experts and agents for scoring, resolves consensus, and generates signed onchain attestations and Proof Reports. It integrates with existing workflows to preserve how quality decisions were reached without replacing tools or reviewers. The news describes its use in robotics contexts to settle evaluation standards before pilots begin, shortening review times from months to days while keeping expert judgment available for critical cases. Pre-Pilot Quality Setup: Sapien's Proof of Quality allows teams to define rubrics, expected effort, and costs before a pilot starts, with the first Proof Report delivered while decisions remain open. Robotics Evaluation Pace: In robotics AI programmes, evaluation of demonstration episodes often runs in months and varies by project, setting the overall programme pace despite faster collection and processing stages. Hybrid Validator Approach: The system routes work to AI agents qualified against expert standards for volume while escalating uncertain cases to independent human experts for final judgment.