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Space and Time Opens Proof of SQL Platform for Private Enterprise Data
Space and Time has launched a Proof of SQL platform letting AI agents verify private enterprise data on their own servers, with sub-second proofs over millions of rows.
Outputs
Space and Time raised $20 million in 2022 in a round led by M12, Microsoft's venture fund
Proof of SQL can run and prove queries over millions of rows in under a second with GPU acceleration
The platform integrates with Google Cloud's BigQuery and now runs on enterprises' own servers without a blockchain
Grayscale launched a trust for SXT, the token powering Space and Time's chain
Microsoft's Nova project includes Blitzar, Space and Time's cryptographic acceleration library
Space and Time, the Microsoft-backed data-verification startup, has launched a platform that lets AI agents verify computations on private business data without gaining unrestricted access to the underlying records. The platform runs on Proof of SQL, the company's patented technology for proving that database queries were computed correctly, and businesses can now operate it on their own servers — without running a blockchain, buying specialized hardware or depending on an outside proving service, according to the company.
The launch addresses a structural problem for enterprises adopting AI agents: how to let automated systems execute workflows on sensitive records while containing the blast radius if something goes wrong.
"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.
What does this change for enterprises?
Holiday framed the exposure in blunt terms. "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."
The platform targets customers in construction, engineering and manufacturing who are rebuilding their systems around AI, so that agents, reporting tools and compliance teams can work from the same business records and independently check the calculations they rely on. In practice, that means verification becomes an auditable property of the data pipeline rather than a manual review step.
Performance is viable for production workloads. With GPU acceleration, supported queries over millions of rows can be run and proven in under a second, Holiday said — fast enough to sit inside a live workflow rather than after the fact. Actual performance depends on the query, hardware and dataset.
What the technology proves — and what it does not
Proof of SQL confirms that a calculation was executed correctly on a given set of records. It cannot confirm that those records were accurate to begin with. "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."
The system already integrates with Google Cloud's BigQuery, giving enterprises a path to verified queries over existing cloud data warehouses. The company's cryptography has also spread beyond its own stack: 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.
Funding, token and the onchain bridge
The company raised $20 million in 2022 in a strategic round led by M12, Microsoft's venture fund. Grayscale last year launched a trust giving investors exposure to SXT, the token that powers Space and Time's blockchain. Earlier this year, the company released 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 supplying verifiable data to DeFi, tokenized assets and stablecoins. On whether enterprise adoption feeds token demand, Holiday said businesses can deploy the product entirely in their own environment; the network becomes relevant as applications "need to connect to onchain markets," with those workloads paid for through Space and Time.
For practitioners, the launch signals a shift in enterprise AI infrastructure: verification is moving from periodic audit to a per-query, sub-second check — and the bridge from private enterprise data to onchain markets is now the bottleneck worth watching.
via cryptonews.net (Source)
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Market editor covering money, funding and market shifts around crypto and web3 industry at Mempool Brief.
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