# Businesses Want AI to Show Its Work. Space and Time Lets Them Keep the Data Private.

> Maple Finance, Indomobil, Trenez and The Data Foundation join the enterprise launch, bringing verifiable calculations to AI applications, financial reporting and audits.

By Lidia Yadlos · November 9, 2026

Canonical: https://blockster.com/space-and-time-enterprise-private-data-verifiable-ai

Before an AI agent approves a payment or recommends a loan, a business needs to know where its numbers came from. Sharing the underlying customer records, financial positions or internal accounts to check the answer creates another problem.

[Space and Time](https://www.spaceandtime.io/) is targeting that gap with **Space and Time Enterprise**, a platform announced November 9 that lets companies verify calculations while keeping the underlying records inside their own environment.

[Maple Finance](https://maple.finance/), [Indomobil](https://www.indomobil.com/), [Trenez](https://www.trenez.com/) and [The Data Foundation](https://www.datafdn.org/) are named as flagship customers and launch partners. The release does not disclose individual contract values or deployment sizes.

For businesses giving AI more responsibility, the proposition is straightforward: **share the result and a way to check it, while retaining control of the private database.**

[Post from @spaceandtime on X](https://twitter.com/spaceandtime/status/2119778291217539447)

## What Does “Verifiable” Actually Mean?

The platform uses **Proof of SQL**, Space and Time’s technology for proving that database queries were executed correctly. SQL is the language businesses commonly use to retrieve and calculate information from structured data.

Think of a finance team calculating how much cash remains after upcoming payments. An AI application could receive that result alongside a cryptographic proof, allowing it to check the calculation without receiving all the underlying records.

The product’s [documentation](https://github.com/spaceandtimefdn/sxt-enterprise) describes verification against a trusted digital fingerprint of the dataset. That distinction matters: **the proof establishes that the calculation matches the specified data and query. It does not independently establish that the original records reflect reality.** Businesses still need reliable inputs and controls over who can access the system.

That gives companies a specific tool for checking the numbers feeding an AI workflow. It does not make every conclusion or decision an AI produces automatically correct.

## Why Lenders and Investors Would Care

Financial decisions regularly depend on figures produced inside someone else’s systems: collateral values, portfolio totals, borrowing limits and reported asset values.

Space and Time’s enterprise product targets those calculations, alongside private credit, audit evidence and operational reporting. Its [website](https://www.spaceandtime.io/enterprise) describes a model in which investors, lenders and counterparties can verify calculations without gaining access to confidential positions or source records.

Consider a borrowing limit. The number depends on which assets qualify as collateral, their assigned values and the lender’s rules. Being able to check how those inputs were processed gives the recipient more evidence than a reported total alone.

Space and Time highlighted that use case in a November 6 post, ahead of the enterprise launch.

[Post from @spaceandtime on X](https://twitter.com/spaceandtime/status/2118735209529311304)

## Bringing the Technology Inside the Business

Space and Time’s decentralized network, SXT Chain, already serves onchain finance, including tokenized assets, stablecoins and DeFi. Enterprise brings its proof technology into private business environments.

According to the launch announcement, businesses can deploy it on their own servers without running a blockchain, buying specialized GPU hardware or depending on an external proving service.

The company says Proof of SQL is already integrated with Google Cloud’s BigQuery. The enterprise release gives businesses another deployment option for workloads they want to keep under their own control.

Nate Holiday, CEO of [MakeInfinite Labs](https://www.makeinfinite.com/), the original developers of Space and Time, connected the launch to the growing authority companies are giving AI agents.

> “As businesses give AI more authority to act, proving the information behind those actions will become as important as protecting it.”
>
> — Nate Holiday, CEO, [MakeInfinite Labs](https://www.makeinfinite.com/)

## From Onchain Data to Enterprise AI

The launch extends a direction Space and Time has been developing across its ecosystem.

In [Blockster’s interview with CMO Catherine Daly](https://blockster.com/verifiable-data-is-the-future-interview-with-space-and-times-cmo-catherine-daly), she discussed how verifiable access to onchain and offchain data could support financial and enterprise applications. Its [partnership with W3.io](https://blockster.com/w3io-and-space-and-time-partner-to-deliver-verifiable-data-infrastructure-for-autonomous-finance) brought that approach to autonomous financial workflows.

Enterprise broadens the audience to businesses that want those checks within their existing operations. The commercial opportunity is in making proof part of everyday reporting and automation—where a company needs to demonstrate how it reached a number without opening its entire database.

Businesses can explore the product at [spaceandtime.io/enterprise](https://www.spaceandtime.io/enterprise) and access the [public repository](https://github.com/spaceandtimefdn/sxt-enterprise).