Data
Prompts, documents and logs stay local.
Generative AI workloads can contain customer records, contracts, source code and trade secrets. On-prem deployment keeps that material inside the environment you govern.
Sovereign AI is not just data residency. It means your organisation controls where AI runs, who can access it, which models are used, how logs are stored, and whether foreign cloud providers sit in the data path.
For regulated European enterprises, sovereignty has to cover the data plane, operations and technology stack.
Generative AI workloads can contain customer records, contracts, source code and trade secrets. On-prem deployment keeps that material inside the environment you govern.
Identity, admin roles, support access, audit trails and incident response are controlled by your policies rather than a public cloud provider.
Open-source components, model choice and OpenAI-compatible APIs reduce dependency on one vendor, one cloud or one proprietary runtime.
EU AI Act, GDPR, NIS2 and the EU Data Act all push enterprises toward clearer control over AI processing, auditability and portability.
When prompts, outputs, logs and model routing live inside your perimeter, audit preparation does not depend on opaque third-party exports or changing provider policies.
A regional data centre can help, but AI sovereignty also depends on jurisdiction, support access, software portability and whether the provider still controls the operational plane.
See the architecture, compare cloud AI with on-prem AI, or get a quote sized to your environment.