Space and Time, the Microsoft-backed blockchain data project, has launched Space and Time Enterprise, a platform that enables businesses to prove that calculations performed on their private data are correct without exposing the underlying records, the company announced on Monday.

The platform allows companies to demonstrate that computations made on confidential data are accurate, so that AI applications, auditors and other stakeholders can verify results without gaining access to the database itself. Businesses can run the software on their own servers without operating a blockchain.

Launch partners include onchain asset manager Maple Finance, Indonesian vehicle maker and distributor Indomobil, Oracle software consultancy Trenez, and AI data network The Data Foundation — a mix of blockchain-native firms and established enterprises outside the crypto sector.

"Businesses want AI agents to execute workflows using that information, but those agents don't need unrestricted access to the records behind every calculation," Nate Holiday, CEO of MakeInfinite Labs, the original developer of Space and Time, told Decrypt.

Holiday argued that the stakes are considerable. "The potential cost to a business is the overall value of the business," he said. "Giving AI tools unrestricted access to data creates another avenue of exposure."

According to Holiday, the company is working with customers in industries including construction, engineering and manufacturing that are rebuilding their systems around AI, so that agents, reporting tools and compliance teams can work from the same business records and verify the calculations they rely on.

Proof of SQL and the SXT Token

The platform is built on Proof of SQL, Space and Time's patented technology for proving that database queries were computed correctly. The technology already integrates with Google Cloud's BigQuery — a foothold outside the Microsoft ecosystem despite Space and Time's Microsoft backing — and businesses can now deploy it on their own servers without operating a blockchain, purchasing specialized hardware or relying on an outside proving service, according to the company.

With GPU acceleration, supported queries over millions of rows can be run and proven in under a second, Holiday said, though actual performance depends on the query, hardware and dataset.

The technology verifies that a calculation was carried out correctly on a given set of records, but it cannot determine whether those records were accurate in the first place. "An incorrect entry still needs to be caught through the business's data controls," Holiday said, "but verification gives those controls a much stronger foundation: evidence of which data was used and whether it was processed correctly."

Space and Time raised $20 million in 2022 in a strategic funding round led by M12, Microsoft's venture fund. Last year, Grayscale launched a trust giving investors exposure to SXT, the token that powers Space and Time's blockchain. Earlier this year, the company launched Dreamspace, an AI-powered tool built with Microsoft's Azure AI services that lets users create and deploy onchain apps without writing code.

Space and Time also operates SXT Chain, a decentralized network that supplies verifiable data to DeFi, tokenized assets and stablecoins. Asked whether enterprise customers would create demand for SXT, Holiday said businesses could deploy the product in their own environments, and that the network would come into play as their applications "need to connect to onchain markets," with those workloads paid for through Space and Time. For now, the two products run on separate tracks: a company can adopt the enterprise platform without ever touching the blockchain, and any resulting SXT demand depends on whether those applications later reach onchain markets.

The company's cryptography is also used elsewhere. Microsoft's Nova project includes Blitzar, Space and Time's cryptographic acceleration library, and the team's work on a commitment scheme called Dory contributed to a16z crypto's Jolt proof system, Holiday said.