AI / Blockchain infrastructure

AI/Blockchain Data Infrastructure bridges two powerful paradigms:

• AI needs fast, scalable data pipelines and compute.

• Blockchain brings decentralization, trust, and immutability.

Together, they enable new applications where data transparency, ownership, privacy, and automation converge—especially in healthcare, finance, supply chains, and identity systems.

Example: Data Provenance & Federated Learning

• Use Case: Training ML models using data stored on IPFS and verified by a blockchain.

• Tools:

  • IPFS/Arweave for decentralized storage

  • Ethereum/Polygon for tracking data use and rewards

  • Ocean Protocol or Fetch.AI for federated learning and marketplaces.