Web3 infrastructure for trustworthy AI

Our Services

Web3 + AI trust infrastructure for provenance, governance, and compliance.

Web3 + AI: security, provenance, and data governance by design.

On-chain Attestations

Verifiable attestations for origin, usage, and compliance.

Data Governance for AI

Data and model policies enforced by design.

Trust & Compliance

Auditability layers with automated evidence trails.

Model/Content Watermarking

Watermarking and fingerprinting to trace usage, origin, and policy compliance across LLM outputs.

Methodology:

Pilot-first delivery with measurable detection thresholds and reporting.

  • ▸Embed robust watermark signals optimized for model families and decoding settings, with measurable detection confidence.
  • ▸Statistical fingerprinting to identify model usage and content origin across downstream channels.
  • ▸Provenance tags propagate through pipelines to support attribution, licensing, and audit trails.
  • ▸Detection services integrate with policy engines and compliance reporting workflows.

Technology Stack:

Watermarking SDKsDetection ServicesPolicy EnginesAudit Logs

Model/Content Watermarking

Watermarking and fingerprinting to trace usage, origin, and policy compliance across LLM outputs.

  • Statistical Fingerprinting
  • Provenance Tagging
  • Traceable AI Outputs
  • Watermark Robustness Testing
  • Attribution Enforcement Hooks
  • Audit-ready Logs

ZKP-Context Verifier

Prove a document was used in the RAG pipeline without revealing the document.

Methodology:

Proof-driven delivery with privacy and compliance validation.

  • ▸Prove RAG usage without exposing the document or embeddings.
  • ▸Run confidential attestation flows to bind retrieval to authorized sessions.
  • ▸Enable auditability with verifiable proofs tied to policy requirements.
  • ▸Integrate proofs into compliance reporting and attribution workflows.

Technology Stack:

ZK ToolingAttestation ServicesPrivate RAGSecure Enclaves

ZKP-Context Verifier

Prove a document was used in the RAG pipeline without revealing the document.

  • Zero-Knowledge Proof of Usage
  • Private RAG Verification
  • Proof of Retrieval/Inclusion
  • Confidential Attestation
  • Usage-bound Decryption
  • Ephemeral Sessions

Policy & Licensing Enforcement

Policy enforcement layer: attribution, usage rules, and compliance at ingestion.

Methodology:

Policy-first rollout with audit gates and measurable controls.

  • ▸Embed enforceable policies at ingestion to control allowed usage, attribution, and licensing.
  • ▸Verify licenses on-chain and gate access based on policy compliance.
  • ▸Route high-value content through semantic access control with royalty rails.
  • ▸Generate audit-ready trails for compliance and revenue split.

Technology Stack:

Policy EngineSmart LicensingOn-chain AttestationsCompliance Reports

Policy & Licensing Enforcement

Policy enforcement layer: attribution, usage rules, and compliance at ingestion.

  • Policy Wrapping
  • Usage Policy Embedding
  • Attribution Enforcement
  • Machine-Readable Licensing
  • On-chain License Verification
  • Usage-based Royalties

Ready to get started?

Talk to us about deploying verifiable AI, policy enforcement, and usage governance.

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