Deploy a hybrid AI provenance registry with a public model lineage and a private enterprise audit layer. The Provenance Notary, On-chain Data Models, and DID and VC Ledger modules bind each model version to its training data and its developer identity, so a regulatory inquiry is answered in minutes with cryptographic proof.
Turn opaque model releases into a verifiable lineage of what data trained a model, who trained it, and which version is live.
01.
Fix every release cryptographically. The Provenance Notary anchors each model version by its weights hash, so the version deployed in production is provably the one that was documented.
02.
Record what went in. On-chain Data Models capture the datasets and their digests used to train each version, making the training corpus verifiable rather than asserted.
03.
Attribute the work. The DID and VC Ledger binds each version to the verified identity of the team that trained it, so provenance names a real, credentialed developer.
04.
Expose lineage, protect secrets. A public layer publishes model lineage for external verification while a private enterprise layer holds sensitive audit detail.
05.
Bind the live model to its record. A deployment attestation ties the running model's hash to its registry entry, so what serves traffic matches what was audited.
06.
Collapse inquiry timelines. Any deployed version resolves to its training data and developer in minutes, replacing weeks of document assembly with a single query.
Follow a model version from training-data anchoring through deployment to a regulatory inquiry answered from proof.
07:30:11
[SYS] Initializing Training Corpus Manifest...
07:30:11
[CMD] anchorDatasets { model: "RISK_V3", sets: 4, rows: 2100000 }
07:30:12
[AUTH] Hashing datasets and sealing lineage...
07:30:12
[OK] 4 datasets anchored at block 8810233.
Cerulea decomposes AI provenance into modular contracts. Each layer anchors data, registers versions, attests deployment, and exposes lineage across a hybrid public and private boundary.
Verifiable model provenance is a horizontal capability. Here is how different AI actors put the hybrid registry to work.
Publish verifiable lineage for every hosted model version while keeping sensitive audit detail private, giving enterprise customers proof of what trained the model serving their workloads.
Key Asset Types
Answer supervisory inquiries into any deployed model in minutes with cryptographic proof of training data and developer identity, instead of assembling documentation under deadline pressure.
Key Asset Types
Verify that the model in production matches the audited version and trace its corpus directly from the registry, replacing self-reported paperwork with an authoritative on-chain record.
Key Asset Types
Whether you are bridging enterprise MLOps pipelines or publishing model lineage to a public verification layer, Cerulea routes both into one provenance record.
For enterprises with established training pipelines. Model builds and dataset digests are translated into on-chain version records through the API gateway automatically.
MLOps Pipeline
Training Infrastructure
Cerulea API Gateway
Hash Anchoring & Signing
Cerulea Private Chain
Enterprise Audit Layer
For open model lineage and external verification. Model provenance is signed and routed directly to the public execution layer for anyone to verify.
Developer Wallet
Model Signing
Provenance Validators
Lineage Consensus
Cerulea Public L1
Public Model Lineage
Building a hybrid provenance registry with data lineage anchoring, version notarization, and deployment attestation from scratch requires specialised engineers and careful MLOps integration. Calculate your exact deployment speed using Cerulea.
Traditional Deployment
Solidity Coding & Audits
~ 13 Months
Visual Compilation
WASM Logical Artifacts
~ 4 Weeks
The legacy timeline reflects enterprise MLOps and audit integration benchmarks. Wiring lineage capture into training pipelines, building version notarization, and constructing a hybrid public and private audit layer for an average platform takes a baseline of 8 months. Building the same architecture on Cerulea takes a baseline of 2 weeks, because Cerulea Studio visually translates your lineage and attestation rules into pre-audited WebAssembly binaries and provisions the public and private provenance layers instantly.