Story Protocol Rebrands as DATA Foundation, Targets AI Training Data

Story Protocol has rebranded as the DATA Foundation, shifting from broad intellectual-property tooling to infrastructure for verifying AI training data provenance, licensing, consent, and payments, per CoinDesk and Cointelegraph. CoinDesk reports the organisation will operate the DATA Network, an onchain registry, and a product called Trace that provides cryptographic receipts documenting dataset provenance, licensing, consent terms, and payment history. The startup has accumulated $140 million in cumulative venture funding led by a16z crypto, per CoinDesk, and Kled AI integration has registered 1.1 billion user-contributed records, per CoinDesk's reporting and an email interview with Avi Patel. The project's native token has declined roughly 98% from its September 2025 all-time high, per market data, and CoinDesk reported in February 2026 that observers raised concerns over a token unlock delay.

Story president and product chief Andrea Muttoni will become CEO of the DATA Foundation, and Kled founder Avi Patel will join as chief data officer and adviser, per Cointelegraph. Muttoni said a year ago the company "set out to build the IP layer for the internet," but found that the open nature of permissionless licensing clashed with the control companies want over their most valuable IP. She said a project Story incubated, called Poseidon, had shown "immediate traction" with major AI firms and raised a $15 million seed round in July 2025 (Cointelegraph).

CoinDesk describes Trace as a cryptographic audit layer that records metadata about datasets onchain without exposing the underlying data. Reported Trace features include:

• •receipts for provenance and origin
• •records of licensing and consent terms
• •payment and transaction history
• •fraud-detection tooling to validate that licensed data is human and original

Editorial analysis: Companies and projects providing provenance for model training data typically combine metadata registries, cryptographic proofs, and marketplace integrations to balance traceability with privacy. The pivot by DATA Foundation intersects two active debates in AI: dataset consent and licensing, and auditability of model training sources. A rebrand backed by reported venture capital and an announced integration registering 1.1 billion records could increase attention on tooling that documents provenance. At the same time, a roughly 98% token decline from the September 2025 peak and prior token-unlock scrutiny (CoinDesk, February 2026) underline the reputational and technical trust hurdles that projects face when moving from tokenized IP markets into enterprise-facing infrastructure.

Observers should track whether the DATA Foundation publishes technical specifications for Trace, enterprise pilot customers, third-party audits of provenance claims, and legal frameworks for consent that align with dataset licensing regimes. Also watch for responses from major model publishers about accepting third-party provenance receipts in compliance workflows.