Sapien
Sapien (Proof of Quality) provides an open infrastructure that adds an onchain trust layer to AI pipelines by producing verifiable quality signals and attestations about who validated data, how consensus was reached, and the resulting provenance.
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Quick Overview
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What it does
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Sapien
Sapien (Proof of Quality, PoQ) is an open infrastructure designed to add a trust layer to AI pipelines by producing verifiable quality signals and writing attestations onchain. It enables teams to define what quality means for a task via a Task Definition Spec (TDS), submit data for evaluation, reach stake-weighted consensus among validators and contributors, and record attestations and provenance onchain. Sapien targets use across the AI lifecycle — training data, fine-tuning, evaluation, and production — particularly where safety-critical or autonomous decisions require provable trust.
The system emphasizes that data need not leave your systems: only the attestation and provenance metadata are written onchain, enabling immutable provenance and neutral settlement while keeping underlying data private.
Sapien (Proof of Quality) provides an open infrastructure that adds an onchain trust layer to AI pipelines by producing verifiable quality signals and attestations about who validated data, how consensus was reached, and the resulting provenance.
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Claim this listing for $29Key Features
Task Definition Spec (TDS)
Define what 'good' looks like for a task by creating a Task Definition Spec that specifies quality criteria.
Onchain Task Registration
Register tasks onchain and open them for contributors to submit data points for evaluation or labeling.
Contributor & Validator Workflow
Contributors stake and submit work; validators review submissions using commit-reveal, with staking and slashing mechanisms.
Stake-weighted Consensus
Acceptance is determined by stake-weighted consensus among validators and contributors, producing economically-backed quality signals.
Onchain Attestations
Attestations (who created it, who validated it, and what consensus was reached) are written onchain as immutable proof of provenance.
Privacy-preserving Design
Underlying data remains in the user's systems; only attestations and provenance metadata are recorded onchain.
Integration for Consumption
Your system can consume the quality signal/attestation to add verifiable quality gates to pipelines and production systems.
Pricing
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Use Cases
Training Data
Register training data tasks onchain and open them for contributors to provide labeled or evaluated data with verifiable provenance.
Fine-Tuning
Validate preference or label data at the source to ensure high-quality fine-tuning datasets.
Evaluation
Add verifiable quality gates to evaluation pipelines to ensure evaluations are provably trustworthy.
Production & Safety-Critical Decisions
Provide real-time verification and attestations for safety-critical actions, agent decisions, and autonomous systems where provenance and trust are required.
Integrations
Onchain / Blockchain
Attestations and task registrations are written onchain to provide immutable provenance and verifiable records.
Pipeline Consumption
Systems can consume attestations and quality signals to add verifiable quality gates to training, evaluation, and production pipelines.
Benefits
Limitations
Frequently Asked Questions
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Getting Started
- 1 Step 1: Request access or join the waitlist (Sign up for early access).
- 2 Step 2: Read the Docs and developer resources (Read the Docs →).
- 3 Step 3: Integrate PoQ attestations into your system so it can consume quality signals (Task registration, contributor/validator workflow).
Support
docs
Read the Docs link is provided on the site for developer and integration guidance.
contact
Contact and company pages are linked from the site (use the website homepage/contact links).
developer resources
The site includes a 'Developers' section for technical onboarding and integrations.
API
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