DEPLOYMENT
Sovereign architectures
Useful AI is AI connected to your data. That's exactly why where that data travels can't be an afterthought.
The problem this solves
An assistant that doesn't know your contracts, your procedures and your history stays a demo. Connecting it to the real world means letting business data leave your information system — and that's where projects stall, often for good reason. The answer isn't to give up; it's to match the architecture to the real sensitivity of each data flow.
Our approach
- Ranking every data flow by sensitivity, before any technical choice is made.
- Placing every building block on the N1–N7 grid, with its associated cost and reversibility.
- Systematic pseudonymization before any call to an external model, whenever an external model is justified.
- Containerized, documented and reproducible deployment: you can take it over, move it, or shut it down.
What you get
- A live platform, connected to your business data sources.
- The architecture file: choices made, alternatives ruled out and why, monthly running cost.
- Infrastructure as code, versioned in your own repository.
- A reversibility plan: what it takes to switch providers or bring everything back in-house.
FAQ
Frequently asked questions
Is a self-hosted model less capable than a proprietary one?
On complex reasoning tasks, the best proprietary models still lead. On most business use cases — extraction, classification, structured drafting, Q&A over a document base — the gap is no longer decisive, and control over the data often weighs more heavily in the decision.
What infrastructure budget does a self-hosted AI need?
It mainly depends on query volume and model size. An internal document assistant for a few dozen users can run on a machine costing a few hundred euros a month. The comparison to make isn't server versus subscription, but total cost including operations, against a per-call cost that grows with usage.
Can several grid levels be combined within the same project?
That's the most common case, and it's recommended. A single application can route general questions to a contracted external model and questions touching sensitive data to an internal model. The routing becomes an explicit rule, documented and auditable.
What happens if the model we use is discontinued?
That's exactly what the reversibility column in the architecture file measures. We systematically isolate the model call behind an internal interface, so that switching providers is a configuration change, not an application rewrite.
Contact
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