A16z-Backed Story Protocol Reinvents Itself as DATA Foundation to Tackle AI's Copyright Crisis
A Palo Alto-based blockchain startup that once set out to revolutionize intellectual property management has undergone a major transformation. Story Protocol, which secured $140 million in venture capital led by Andreessen Horowitz's a16z crypto division, has officially rebranded as DATA Foundation — and its new mission is squarely aimed at one of the tech industry's most pressing problems: the legal and ethical chaos surrounding AI training data.
The rebrand comes at a time when artificial intelligence companies and major tech corporations are facing an avalanche of copyright lawsuits tied to the datasets they used to develop their models. Pressure is mounting across the industry to demonstrate that training data was gathered with verifiable consent and proper licensing. DATA Foundation is betting that blockchain technology can serve as the backbone of a transparent, tamper-proof system for tracking data ownership, provenance, and licensing history.
At the operational level, DATA Foundation will run the DATA Network — an onchain registry purpose-built to document and verify the origins, consent records, and licensing terms attached to datasets before AI developers ever use them. This represents a significant strategic pivot from the startup's earlier, broader approach to the intellectual property market.
Kled AI founder Avi Patel is joining DATA Foundation in an advisory capacity as chief data officer, and he confirmed the details of the rebrand in an email interview. According to Patel, the launch includes direct integration with Kled AI, an opt-in marketplace for human-contributed data. Through this integration, an estimated 1.1 to 1.5 billion user-contributed records are being registered on the new network. Andrea Muttoni has stepped into the role of CEO at DATA Foundation as part of the leadership restructuring.
Patel declined to confirm or deny a reported valuation of $2.4 billion. He also did not address controversy that emerged in February, when Story Protocol's co-founder Sy Lee defended a token unlock delay by citing the blockchain's need for more development time before reaching broader adoption.
Central to DATA Foundation's product lineup is a platform called Trace — a public audit and search tool designed to generate cryptographic receipts for individual data contributions. These receipts contain key information including content hashes, consent terms, licensing agreements, payment proof, and timestamps, but crucially, they do not expose the actual underlying data.
"Trace publishes the audit record, not the data," Patel explained. "What's public is the receipt. There's nothing to scrape on Trace because the asset itself is not stored there." The raw data remains within the marketplace and can only be accessed through a licensed transaction.
The DATA Network also incorporates Poseidon, a data processing project designed to clean and score human-generated datasets. Poseidon powers a contributor application called Numo, which compensates users with stablecoins in real time for submitting authenticated data. Importantly, Patel noted that payouts are tied to completed transactions rather than advanced against future sales, reducing financial risk. Kled also operates fiat payout infrastructure alongside the stablecoin option to ensure contributors are not dependent on any single buyer's transaction timeline.
Looking ahead, DATA Foundation's development team is focused on building a fraud-detection protocol to confirm that licensed data is genuinely human-generated, original, and legally compliant — rather than pirated or synthetically produced by AI systems.
"Labs won't license data they can't verify," Patel said. "Solving that is the whole game, and it's where we're putting our resources."
With regulatory scrutiny intensifying and the public internet increasingly exhausted as a data source, DATA Foundation is positioning itself as critical infrastructure for the next generation of responsible AI development.
