AI for Food Traceability with On-Chain Attestations

Combine AI document extraction and on-chain attestations to track food provenance, safety, and compliance from farm to fork.

Fragmented supplier data makes recalls and compliance costly. AI extracts and links batch data, while on-chain attestations provide tamper-evident proof for regulators and buyers.

Risk scoring suppliers and lots.

Rapid recall and consumer transparency.

FSMA/ISO/BRC evidence bundles.

live demo · related simulation● LIVE

Document AI with schema validation; OCR+LLM extraction.

Streaming IoT/cold-chain data; barcode/QR/RFID scans.

Attestation writer to blockchain and off-chain storage.

Frequently asked questions

What is audit/export with signed attestations?

Audit/export with signed attestations.

How do I map schema and IDs, and onboard suppliers?

The system allows you to map data schemas and unique identifiers for each supplier. This process also includes onboarding suppliers by collecting and associating the necessary documentation within the platform.

What is the deployment process for extraction/linking, and how do I anchor attestations?

Deployment involves integrating the extraction and linking tools with your existing workflows, while anchoring attestations on-chain ensures their immutability and verifiable provenance within the system’s blockchain infrastructure.

How do I launch the trace explorer and recall work flows?

To begin utilizing mysimulator.uk, you'll first launch the trace explorer to visualize data workflows, then pilot a specific product line using the platform's simulation capabilities for testing and optimization.

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation

AI for Food Traceability with On-Chain Attestations | ML Knowledge Hub