Sovereign AI, deployed on your own infrastructure
Most AI tools send your data to US cloud providers. For banks, hospitals, telecoms and public-sector bodies, that alone rules them out. We deploy large language models inside your own environment, fine-tuned on your data, EU-hosted, and fully under your control.
Discuss a sovereign deploymentWho it's for
Regulated industries and public-sector organisations that cannot send data to third-party or US-hosted AI services: banking, healthcare, telecom, energy and government.
What we deliver
A complete deployment that keeps the model, the data, and the control inside your environment.
Open-weight LLM deployment
We deploy proven open-weight models (Llama, Mistral, the vLLM ecosystem) on your infrastructure, with no per-token dependency on an external provider, and no data leaving your environment.
Fine-tuning on your data
We adapt the model to your domain, terminology and documents so it performs on your actual work, not a generic benchmark. Training data and weights stay with you.
EU-hosted, GDPR-compliant architecture
Inference and storage run on EU infrastructure you control, with data residency, access control and retention designed in from the start.
Private retrieval (RAG)
Retrieval over your internal documents and systems, so the model answers from your knowledge base without that knowledge ever reaching a third party.
Guardrails and audit
Every prompt and response is logged in your environment, with policy filters and access controls that meet your compliance obligations.
Handover, no lock-in
We document the deployment and, where you want it, train your team to run and update it, with no dependency on us or on any single vendor.
How it works
-
Constraints first
We map the legal and data-residency constraints with you (and, where useful, your legal specialists), so the architecture is compliant by design, not retrofitted.
-
Model and infrastructure selection
We choose the open-weight model and hosting that fit your workload, latency and budget: sized for today, able to grow.
-
Fine-tune and integrate
We adapt the model to your data and connect it to your systems through governed interfaces, including MCP where agents are involved.
-
Validate and harden
We test against your real use cases, add guardrails and audit logging, and confirm that nothing leaves your environment.
-
Hand over
You get a documented, operable system and, if you want it, the training to run it yourselves.
Proof
Built on open-weight models and open standards, so your data stays portable and your roadmap stays independent of any single vendor's licensing agenda.
Questions we get asked
What does “sovereign AI” actually mean?
It means the AI runs entirely inside infrastructure you control, on models whose weights you hold, with no data sent to an external or US-hosted service. You own the deployment, the data and the model.
Which models do you deploy?
Proven open-weight models such as Llama and Mistral, served with open-source tooling like vLLM. We avoid proprietary APIs so there is no per-token lock-in and nothing leaves your environment.
Is this GDPR-compliant?
Yes. Deployments are EU-hosted on infrastructure you control, with data residency, access control and retention designed in. Because data never leaves your environment, the largest category of GDPR risk with commercial AI simply does not arise. We map the specifics with your legal specialists.
Can it use our internal documents?
Yes, through private retrieval over your own systems. The model answers from your knowledge base, and that knowledge is never sent to a third party.
Do we depend on Ozymind to run it afterwards?
No. We build on open foundations and hand over a documented system. We can train your team to operate it or stay involved, your choice, not a lock-in.
Related
Ready to run AI without your data leaving the building?
Talk to us about sovereign AI