The problem
Generative AI solutions available on the market often require sending sensitive data to infrastructure outside the EU, with no real guarantee of confidentiality or cost control.
Concrete deliverables
Designing RAG (Retrieval-Augmented Generation) systems on EU-hosted or self-hosted infrastructure, using open-weight models where relevant, to keep real control over data and cost.
- Feasibility study and infrastructure choice
- Custom RAG system (ingestion, retrieval, generation)
- Documented data confidentiality guarantees
- Team training on using the system
Who it’s for
- Organisations handling sensitive data (health, legal, public sector)
- Companies wanting an internal AI assistant without relying on a non-EU provider
- Projects requiring traceability and cost control
Frequently asked questions
- What is a RAG system?
- A system that lets a language model answer based on the organisation’s own documents, rather than only its generic training knowledge — with traceability of the sources used.
- What does “sovereign AI” concretely mean here?
- EU-hosted (or self-hosted) infrastructure and, where relevant, open-weight models — so sensitive data doesn’t transit through non-EU clouds without clear contractual guarantees.
Sovereignty isn’t a slogan here: it’s an infrastructure and model choice that translates into verifiable guarantees on where and how data is processed.