Sui Foundation invests in DATA Network as AI data protocol migrates to Sui

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Sui invests in DATA Network

Highlights

Sui Foundation becomes DATA Network's largest institutional holder as DATA migrates its entire protocol and token one-to-one to the Sui blockchain.
DATA Network's Trace registry has logged over 250 million contributions and processes 3 million receipts daily to track provenance and rights of AI training data.
The upgrade to Sui and Walrus provides AI labs with rights-cleared, consent-backed datasets, addressing developers' and regulators' requirements for data legitimacy.

Partnership structure and migration plan

As reported by The Block, citing DATA Foundation, Sui Foundation becomes DATA Network's largest institutional holder alongside existing stakeholders PIP Labs and DATA Foundation. The agreement upgrades DATA Network to run natively as a protocol on Sui, while its standalone chain is retired after the transition is completed.

The existing DATA token moves to Sui on a one-to-one basis. DATA Foundation says the current network continues operating until the migration is finished, and a detailed timeline is to be released before the upgrade.

Walrus also becomes the default storage layer for applications operated by DATA Foundation. The foundation shifted its focus in June from broader intellectual property infrastructure to AI training data, aligning the partnership with that strategic change.

AI data supply chain and sector impact

The partnership is aimed at scaling the supply chain for AI training data, an area where provenance and usage rights are becoming more important for developers and regulators. DATA Network's Trace product, launched in June, tracks the origins and rights status of training data while settling payments to contributors.

According to the statement, the Trace registry has logged more than 250 million contributions since launch and is currently processing more than 3 million receipts a day on average. DATA Foundation says the upgrade gives AI labs a source of real-world training data that they are permitted to use.

Adeniyi Abiodun, co-founder and chief product officer at Mysten Labs, says the AI industry has moved beyond relying on the open internet alone and now needs datasets backed by consent and provenance that regulators require. He adds that bringing DATA Network and Trace onto the Sui and Walrus stack adds large volumes of rights-cleared data already being used by frontier AI labs.

Our earlier coverage on how AI is redrawing the strategic map of global power explained that the build-out of advanced models is concentrating value in semiconductors, energy, capital, and data infrastructure. We also noted that U.S.–China interdependence and supply bottlenecks—from rare earths to export controls—are becoming key pressure points that shape where AI capacity can scale and who controls critical inputs.

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