Trace Brings Rights-Cleared AI Data to Sui and Walrus
Trace, the onchain registry for AI training data with over 250 million receipts, joins the Sui stack.
Trace Brings Rights-Cleared AI Data to Sui and Walrus Trace, the onchain registry for AI training data with over 250 million receipts, joins the Sui stack. Walrus becomes the default storage layer, and DATA Network upgrades to run natively on Sui, providing AI labs with a single source for compliant, real-world training data. Trace, the onchain registry for rights-cleared AI training data with more than 250 million verifiable receipts, brings its training data to Sui and Walrus to power the next generation of AI models. The registry is joining the Sui stack, bringing a live supply of rights-cleared AI training data onto the infrastructure Sui has built for AI workloads. Walrus, the data platform with integrity proofs anchored on Sui, becomes the default storage layer for applications operated by DATA Foundation. Separately, the DATA Network will be upgraded to run as a protocol natively on Sui.Sourcing Rights-Cleared AI Training DataThe upgrade gives AI labs a single place to source real-world training data they are allowed to use, with its provenance recorded by Trace and the original file stored and access-controlled on Walrus. The next generation of AI models is constrained by access to real-world data. The open internet has been scraped, and the data that comes next must be sourced from people, with consent and with provenance that regulators and legal teams will accept.The EU AI Act and ongoing litigation over training data have made provenance a procurement requirement for labs. The data those models need sits with people rather than on the open web: a nurse describing a patient's night in her own words, a dashcam recording of a rainy commute in Jakarta, a factory technician's hands as they diagnose a fault, or a customer call conducted in Bengali.It is personal and often regulated, and it belongs to the people who generated it. Trace, launched by DATA Foundation in June as an onchain registry for AI training data, was built for exactly this kind of data. It records the origin of each contribution and the rights attached to it, and settles payment to the person who contributed it. It has registered more than 250 million contributions since launch and now processes over 3M receipts per day on average.Onchain Asset Management for AI DatasetsApplications writing to Trace include Kled, the largest opt-in human data marketplace with over 1.5 billion records being onboarded, along with Numo and Oto, applications that already license data to frontier AI labs and robotics companies. Sui represents every asset as a programmable object, allowing datasets and their licenses to be managed onchain like tokens. Independent transactions execute in parallel and settle in under a second, making the network capable of handling millions of daily registrations.Walrus extends this capability to large files: it stores massive AI datasets efficiently and ensures data is only readable by licensed buyers. No other network offers storage, access control, and ownership tracking built natively into a single ecosystem, together with verifiable compute. Trace now adds a flagship supply of rights-cleared data, with existing demand from the AI labs that license it today. The result of the integration will be stronger provenance guarantees and tamper evidence.Today a Trace record proves that a file was registered and when, and with Walrus, Trace will be able to hold an encrypted, immutable copy of the contributed file itself as a reference guarantee. The hash of the record can be regenerated from the data itself rather than from metadata an application supplied, and any later processing of the file can be checked against the original. The upgrade is backed by a long-term strategic investment.Sui Foundation Strategic Investment in DATASui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, Chairman of Poseidon and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor. DATA Network will be upgraded to run as a protocol natively on Sui, and its independent chain will be retired.$DATA continues as the token of the DATA protocol on Sui, carried over one-to-one, with holder economics and governance rights at least equivalent to today. Locked and vesting positions carry over unchanged. In parallel, Walrus becomes the default storage layer for DATA Foundation applications.Adeniyi Abiodun, Co-Founder and Chief Product Officer at Mysten Labs, the original contributor to Sui and Walrus, said: 'The AI industry has reached the point where the open internet has been read, and the next frontier is defined by access to datasets with the consent and provenance that regulators require. Sui and Walrus were built to be the home where AI data is stored, licensed, and paid for, capable of operating at the scale these systems demand.The migration of DATA Network and Trace to our stack now brings massive volumes of high-quality, rights-cleared data that is already serving the world's frontier AI labs. '
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