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We build · Private AI

Private AI on your own machines.

The most capable AI runs in someone else's cloud, so using it means sending them your data. The private kind, on your own machines, is usually the weaker one. Most teams end up giving up one or the other.

We build AI that stays on your machines without falling behind. It works best on the repeatable processes your work depends on, once we've written down how they're done.

01The class it belongs to

Businesses now buy AI by the seat, at about $20 a month, and more and more of their use goes to the cheaper, faster models: the top models' share of that use fell from 53% in August 2026 to 45% by early September (Ramp AI Index, 9 Sep 2026). That is the class the private model we run on our own machines belongs to — and the difference is what it is allowed to see: because it runs on your machines, it can read the whole file.

02Why not an enterprise plan from a cloud vendor?

European data residency, which one large vendor introduced in February 2025 for new enterprise, education and developer accounts, decides where your data is stored at rest; it does not change who holds it. In a US copyright case a court ordered the same vendor, in May 2025, to preserve users' chat logs, deleted ones included, until the court ended the order in October 2025; enterprise, education and zero-retention developer customers were carved out, which shows that what a vendor keeps, and for how long, is set by courts and contracts, and can change. And where your own rules require the protected parts of a file to be hidden before it is sent out, our October test found that 12 of the 20 questions per file, 60 % of them, could not be answered by any model, ours included, which was the honest outcome: the rule, not the model, costs the answers.

A model inside your building has no second custodian, and it reads the whole file.

03What you can hold us to

  • Every number has a source. If we can't show where a figure came from, we don't publish it.
  • Research comes first. Our products grow out of our research. When the two pull in different directions, the research wins.
  • We show our evidence. Our claims point to published research and to test runs you can download and check for yourself.
  • We're upfront about limits. Our paper lists what it doesn't prove, the proof page does the same, and so will the report you get from us.
  • We don't train on your data. Nothing you send is used to train an AI model.

Talk to us

Talk to usOr write to [email protected] (subject: Private AI)

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