Story Protocol Rebrands as DATA Foundation, Pivots to AI Training Data Infrastructure

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Story Protocol has rebranded as DATA Foundation, shifting focus from blockchain-based intellectual property to AI training data infrastructure. The move includes launching Trace, an on-chain registry for AI training data, and a 1:1 token migration from IP to DATA. The pivot addresses what the company calls a multi-billion-dollar data bottleneck facing AI labs.

Story Protocol Rebrands to Address AI Industry's Data Scarcity

Story Protocol, the layer-1 blockchain originally built around blockchain-based intellectual property licensing, has executed a strategic rebranding to become the DATA Foundation

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. The shift represents a fundamental pivot toward building infrastructure for AI training data, which the company now describes as "the most valuable and least solved category of IP"

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. According to DATA Foundation CEO Andrea Muttoni, who previously served as Story's president and product chief, frontier AI labs face a multi-billion-dollar data bottleneck as they have "effectively run out of internet to scrape"

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Source: Cointelegraph

Source: Cointelegraph

The rebranding comes after Story Protocol's native IP token plummeted nearly 98% from its all-time high of $14.78 last September to recent trading levels around $0.349

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. As part of the transition, the IP token is migrating 1:1 to become the DATA token, requiring no action from existing holders .

Launching Infrastructure for AI Training Data

Data Network aims to connect AI data sourcing, processing, and verification in a unified platform. The company is launching Trace, an on-chain registry for AI training data provenance and licensing that will allow AI companies to verify entire data sets and enable contributors to enforce their terms

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. The platform is also integrating with Kled, an opt-in human data marketplace that pays people for tasks such as capturing videos, ambient audio, and real-world activities to train AI models

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Muttoni explained that the pivot emerged from clear market signals, particularly from Poseidon, an AI data processing project Story incubated that raised $15 million from a16z in July 2025

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. "The answer became unambiguous: The form of IP pulling hardest was AI training data," he stated . Poseidon will serve as the processing layer of the protocol, while Kled becomes the "flagship app" on DATA

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Why the Original Vision Fell Short

Muttoni acknowledged that Story's original mission to build "the IP layer for the internet" encountered fundamental market resistance. Companies behind valuable music, games, and brands "guard their most valuable IPs jealously, and the open nature of permissionless licensing clashed with the very control the companies want to keep"

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. This tension between open licensing and corporate control prompted the strategic shift toward AI training data, where the need for verified, licensed data at scale presents a clearer value proposition.

Source: Decrypt

Source: Decrypt

Story founder Seung-yoon Lee, who will serve as an adviser to DATA, emphasized the opportunity: "The most important IP of this era is the data you can't scrape: how a surgeon's hands move, how a robot grips, how people speak, drive, and work in the real world"

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. Kled founder Avi Patel will join DATA as chief data officer and adviser

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Joining the Crypto-to-AI Migration Wave

Story Protocol rebrands as part of a broader trend of crypto projects pivoting to AI as funding and attention shift toward artificial intelligence. Forbes reported that Web3 gaming platform Immutable is moving from gaming to launch an AI marketing platform for game publishers, while Coinbase announced tools allowing consumer AI models to connect with user exchange accounts for automated trading

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. Multiple crypto miners have also shifted to running high-performance computers for AI workloads, providing revenue boosts during challenging market conditions

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Muttoni positioned the companies that can supply AI labs with "clean, verified, licensed data at scale" as potentially "some of the most valuable businesses ever built"

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. With launch partners already validating product-market fit, DATA Foundation now focuses on scaling and execution to address what it identifies as a critical gap in AI infrastructure

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