PoQ

PoQ is an open infrastructure for verifiable quality signals in the AI lifecycle. It addresses the lack of trust and provenance in AI outputs, training data, and autonomous decisions. The platform allows users to define quality standards via a Task Definition Spec (TDS), submit data for evaluation, and have contributors stake and submit work. Validators review submissions through a commit-reveal process, and stake-weighted consensus determines acceptance. Results are attested onchain, providing immutable provenance and independent verification. PoQ is designed for use cases including training data labeling, fine-tuning preference validation, evaluation pipelines, and real-time verification for safety-critical decisions. It supports builders, workers, and validators in creating trusted AI systems without relying on a central authority.

Key Benefits

• Adds verifiable trust to AI pipelines
• Provides immutable provenance for AI decisions
• Uses economic consensus for quality verification
• Works across training, evaluation, and production