Sovereign AI, running on the hardware we install.
Off-the-shelf models rarely speak your language, know your laws or pass your security review. We adapt open models to your data and deploy them where your regulator expects them.
What sovereign means in practice.
Three requirements come up in nearly every project. We design for them from the first meeting.
Data stays put
Prompts, documents and outputs remain on infrastructure in your jurisdiction, under your access controls.
The model knows you
Fine-tuning and retrieval on your documents, in your languages and your domain vocabulary.
You stay in control
You own the adapted weights, evaluation sets and pipelines. Nothing depends on a foreign API to keep working.
How we build it.
Five stages, each with a deliverable you can review before the next begins.
Scope
Map your data, residency rules and the decisions the system will support.
Select
Choose and benchmark open models on your own test set, in your languages.
Adapt
Fine-tune and connect retrieval to your documents, with access controls that follow your existing permissions.
Deploy
Run in a local data centre, a sovereign cloud region or fully air-gapped.
Operate
Monitor quality, patch models, and hand your team the keys when you are ready.
Where it can run.
The deployment model follows your regulator and your risk appetite, not our preference.
On premises
In your own data centre on hardware we specify and install.
Sovereign cloud
In a regional cloud or colocation facility that meets your residency rules.
Air-gapped
With no external network connection, for the most sensitive workloads.
Start with the data that cannot leave.
Tell us the jurisdiction and the documents involved. We reply with an approach and a first workshop agenda.