Space and Time Launches Enterprise Platform for AI Data Verification Using Proof of SQL

Space and Time Enterprise Enables Secure AI Data Verification

Space and Time, a Microsoft-backed blockchain data project, has launched Space and Time Enterprise, a data privacy platform designed to address a critical challenge in enterprise AI adoption: how to verify private data without exposing sensitive records1

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. The platform lets businesses prove that calculations made using private data are correct, enabling AI agents, auditors and stakeholders to verify results without accessing the underlying database itself.

Launch Partners Signal Enterprise Confidence

The platform debuts with significant industry backing. Launch partners include Maple Finance, an onchain asset manager, Indonesian vehicle manufacturer and distributor Indomobil, Oracle software consultancy Trenez, and The Data Foundation, a Washington, D.C.-based nonprofit focused on government data1

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. Nate Holiday, CEO of MakeInfinite Labs, the original developer of Space and Time, emphasized the platform's necessity: "Businesses want AI agents to execute workflows using that information, but those agents don't need unrestricted access to the records behind every calculation"1

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Proof of SQL Powers Verifiable Intelligence for AI Applications

At the core of Space and Time Enterprise lies Proof of SQL, the company's patented technology for proving that database queries were computed correctly1

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. Already integrated with Google Cloud's BigQuery, the technology is now available for businesses to deploy on their own servers without operating a blockchain, purchasing specialized hardware, or relying on external proving services. With GPU-accelerated queries, supported operations over millions of rows can be executed and proven in under a second, though actual performance depends on the query, hardware and dataset1

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Addressing Enterprise AI Security Concerns

The stakes for businesses adopting AI are substantial. "The potential cost to a business is the overall value of the business," Holiday stated. "Giving AI tools unrestricted access to data creates another avenue of exposure"1

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. Holiday explained that the technology proves a calculation was carried out correctly on a given set of records, though it cannot verify whether those records were accurate initially. "An incorrect entry still needs to be caught through the business's data controls," he noted, "but verification gives those controls a much stronger foundation: evidence of which data was used and whether it was processed correctly"1

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Microsoft Backing and Cryptographic Contributions

Space and Time raised $20 million in 2022 in a strategic funding round led by M12, Microsoft's venture fund1

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. The company's cryptographic work extends beyond its own platform. Microsoft's Nova project incorporates 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 system1

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Expanding from Blockchain to Enterprise Applications

The launch represents a strategic expansion for Space and Time beyond its decentralized network, SXT Chain, which supplies verifiable data to DeFi, tokenized assets and stablecoins1

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. Holiday indicated that while enterprise customers can deploy the product in their own environment, the network becomes relevant as their applications "need to connect to onchain markets," with those workloads paid for through Space and Time1

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. Last year, Grayscale launched a trust giving investors exposure to SXT, the token that powers Space and Time's blockchain1

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Industry Applications and Future Outlook

Holiday revealed the company is working with customers in construction, engineering and manufacturing industries that want to rebuild their systems around AI, enabling agents, reporting tools and compliance teams to work from the same business records and verify the calculations they rely on1

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. "Privacy is a prerequisite for enterprise adoption," Holiday emphasized. "As businesses give AI more authority to act, proving the information behind those actions will become as important as protecting it"2

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. The platform addresses growing concerns about AI governance as organizations increasingly delegate decision-making authority to AI agents while maintaining accountability for sensitive data handling.