quintiro

Sovereign AI, for the data that must not leave.

YOUR PREMISES

  • Staff emails
  • Contracts and data room
  • Medical records

Open model, on your hardware

OUTSIDE

Cloud AI service

  • US provider, subject to the Cloud Act
  • Retention and use under its own terms
  • One more processor for your DPO

The content of the documents leaves with every question.0 bytes out

Uses

Method

  1. Scoping

    One workshop, one use case, success criteria in numbers.

  2. Proof of concept

    In a few days, on synthetic data, measured on a frozen reference corpus.

  3. Pilot

    On your servers, with your teams, on your real data.

  4. Production

    Integration with your systems, monitoring, continuous quality measurement.

Quintiro was founded by a former CIO of an international group who ran the IT side of mergers and acquisitions: every step prepares what the executive committee, the DPO and security will need to sign off.

Questions

Is a local model as good as a cloud service?

Not always, and we measure it on a reference corpus before promising anything. The rest comes down to architecture: fixed rules where they are enough, the model where understanding is needed, human review before anything is sent.

What hardware does it take?

It depends on the volume and the model. A single desktop machine is often enough for a proof of concept; scoping sets the size for production.

What about the GDPR and the AI Act?

The data stays with you: no transfer outside the EU, no extra processor. Scoping documents the processing for your DPO.

What happens to the data afterwards?

Nothing leaves. Logs stay on your servers, kept for as long as you decide.