Verifiable quality signals for AI
Add a trust layer to any AI pipeline.
Define what quality means.
Get independent consensus.
Receive attestations onchain.
The information age solved distribution.
Not verification.
We can move content anywhere, instantly.
We still can't prove any of it should be trusted.
Models generate faster than anyone can review. Agents are starting to act autonomously. Robotics and AVs are taking AI from digital to physical.
It breaks when it matters most: when an agent acts autonomously, a vehicle encounters something unexpected, a model is asked to do something new.
Rating model outputs. Labeling training data. Approving safety-critical actions. Validating agent decisions. It all depends on subjective judgment somewhere.
There is no way to prove who made the judgment. No way to verify how it was made. No way to assess whether the source was credible.
PoQ fixes this.
Open infrastructure for verifiable quality signals.
Wherever they're needed in the AI lifecycle.
Step
01
Define
02
Validate
03
Attest
Use it for
Training Data
Fine-Tuning
Evaluation
Production
Your data never leaves your systems. Only the attestation goes onchain:
Immutable provenance.
Neutral settlement.
Trust that doesn't depend on us.
Proof of Quality.
Quality verified by economic consensus.
Trusted by the best.
Get early access.