Story Protocol has rebranded as DATA Foundation and is pivoting from general intellectual property infrastructure to building blockchain-based solutions for AI training data verification, the company announced Thursday. The Palo Alto-based startup, which secured $140 million in cumulative venture funding led by Andreessen Horowitz's a16z crypto, aims to address mounting copyright lawsuits facing AI developers over unauthorized data scraping.
The new DATA Network will serve as an onchain registry designed to verify the origins, licensing and consent history of datasets used to train artificial intelligence models. The shift moves the firm from targeting broader IP markets to specializing in AI data provenance—a sector experiencing rapid growth as legal scrutiny intensifies around how tech companies source training material.
Market Context
AI developers face escalating legal challenges over training data practices, with major copyright lawsuits pending against leading technology firms. The industry has struggled to provide transparent records demonstrating that datasets were collected with proper consent and licensing agreements. This regulatory pressure has created demand for verification solutions that can document data provenance without exposing underlying information.
Analysis
The rebranding represents a strategic calculation that the AI training data market offers clearer near-term revenue opportunities than general IP infrastructure. DATA Foundation's approach centers on cryptographic receipts—immutable records documenting content hashes, consent terms, licensing agreements, payment proofs and timestamps for individual data contributions. The Trace platform publishes audit records rather than actual data, addressing privacy concerns while enabling verification.
Kled founder Avi Patel joins as chief data officer to oversee the integration with Kled AI's human data marketplace, which has registered 1.1 billion user-contributed records on the new network. Andrea Muttoni assumes the CEO role at DATA Foundation. The company is also developing fraud-detection protocols through its Poseidon project, which cleans and scores human data using the Numo contributor app that pays users in stablecoins for authenticated submissions.
Patel emphasized that AI developers will only license data they can verify, positioning transparency infrastructure as essential to market functionality rather than optional compliance tooling. The company declined to confirm valuation figures reported externally at $2.4 billion.
Key Numbers
- $140 million: Cumulative venture funding raised by the startup
- 1.1 billion: User-contributed records registered on the DATA Network integration with Kled AI
- $2.4 billion: Reported valuation (company declined to confirm)
- February 2026: Protocol faced scrutiny over token unlock delay; co-founder Sy Lee cited need for additional development time
What to Watch
Developers will monitor whether the DATA Network attracts major AI labs as customers, particularly given existing litigation concerns. The Trace platform's public audit capabilities and Poseidon's fraud-detection tools represent key technical differentiators. Contributor adoption metrics from Numo's stablecoin payout system may signal network health. Regulatory developments around AI training data consent requirements could accelerate enterprise demand for provenance verification infrastructure.
The company's next phase will test whether blockchain-based verification can gain traction against traditional audit methods in an industry where copyright litigation remains unresolved.