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Story Protocol Rebrands as DATA Foundation, Targets AI Copyright Issues

Formerly known as Story Protocol, the startup rebrands to DATA Foundation and shifts its focus to AI training data. Backed by Andreessen Horowitz, it aims to provide blockchain solutions for verifying the origins and licensing of datasets used in AI, as reported by CoinDesk.

yesterday·2 min readBeginner·Reported by Olivier Acuna·via CoinDesk
Story Protocol Rebrands as DATA Foundation, Targets AI Copyright Issues

Palo Alto-based blockchain startup Story Protocol has rebranded itself as DATA Foundation, focusing on the challenges surrounding artificial intelligence (AI) copyright violations. The company raised $140 million, primarily from Andreessen Horowitz's a16z crypto, to develop infrastructure that ensures the legitimacy of datasets used to train AI models.

The new DATA Network intends to deliver a clear documentation trail through its Trace platform, which offers cryptographic receipts detailing dataset provenance, licensing, consent, and payment history. This approach seeks to address the growing scrutiny that AI developers and large technology firms face over dataset ownership and the necessity for proper consent in data collection.

Avi Patel, founder of Kled AI, joins DATA Foundation as chief data officer, further emphasizing the company's commitment to the AI data sector. Patel mentions that the integration with Kled AI's marketplace allows for the registration of 1.1 billion user-contributed records, creating a comprehensive database for AI to draw from.

The rebranding follows previous criticisms and operational delays the startup faced, particularly regarding token unlock events earlier in the year. Patel highlighted that the firm’s restructuring aims to build a specialized focus on AI data legality rather than a broader approach to intellectual property. He notes that the industry suffers from legal challenges stemming from data scraping without proper consent, making it imperative for AI developers to have confirmation of dataset legitimacy.

"Labs won't license data they can't verify," said Patel, highlighting the necessity for fraud-detection protocols that confirm data authenticity, originality, and compliance to prevent the use of pirated or AI-generated datasets.

The Trace platform is designed to create immutable records of data contributions, ensuring that what is made public are not the datasets themselves but rather receipts containing essential information such as content hashes, consent terms, and timestamps. This feature protects the underlying data while providing a verifiable history that can be audited.

To further sustain its mission, DATA Foundation is simultaneously developing an application called Numo, which rewards contributors for submitting validated data with stablecoin payments. This allows for real-time compensation tied to the completion of transactions, enhancing the financial incentives for data providers.

As DATA Foundation moves forward, it faces the challenge of establishing itself amidst increasing competition in the AI data compliance space while aiming to resolve the copyright issues that bedevil many operating in this field.

Summary based on original reporting by Olivier Acuna at CoinDesk, originally published Jun 25, 2026. SolanaWire does not republish source content.

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