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Sovereign AI for the public sector

AI sovereignty for government.

Xinity runs open, OpenAI-compatible language models entirely inside your own infrastructure. Citizen data stays in-house, in jurisdiction, and under government control. Apache 2.0 open source, with no vendor lock-in.

The situation

Digital sovereignty is a policy requirement.

When administrative data flows through a US provider's API, it creates a dependency that collides with the goal of sovereign capability. Sovereign AI means models and data stay under your control, technically and legally.

Compliance

How on-premise supports concrete obligations.

Procurement
Public procurement

Apache 2.0 open source creates the basis for vendor-neutral procurement without lock-in. The source code is inspectable, the solution is not tied to a single supplier, and operation happens inside your own infrastructure.

EU strategy
European cloud sovereignty

Europe's sovereign cloud strategy aims to reduce dependence on third countries. On-premise operation meets that aim at its core: there is no provider outside your jurisdiction with access to data or processing.

Third countries
Data transfer and access

As soon as data reaches a cloud API, the question of access by the provider state's authorities arises. Chapter V of the GDPR governs transfers to third countries. When processing never leaves your system boundary, that question disappears entirely: there is no transfer to a third country.

The architecture is the proof

Data and model stay inside your infrastructure.

Xinity runs on your hardware, on your network, behind your firewall. There is no outbound data path to a model provider that you would have to secure or cover by contract. Apache 2.0 open source also means full auditability: your security team can read every line.

Let us talk about a pilot inside your agency.