Produkty / SovereignAI

SovereignAI

Frontier models from the big providers are effectively off-limits for regulated companies, public administration and medicine: the data leaves the EU and the obligations pile up. SovereignAI is our answer, language models and inference capacity operated inside the EU that you deploy without compromising on security, as an API or as dedicated capacity, or on-premise.

Powerful LLMs and inference capacity operated inside the EU. Your data never leaves the jurisdiction.

Hosted in the EU, data never leaves the jurisdictionEU AI Act and GDPR compliant by designOpen-weight models, no hyperscaler dependencyPay-as-you-go API or dedicated capacity, on-prem too

Who is it for

Who it helps

Regulated B2B companies

Finance, law, energy, manufacturing with know-how. They deal with GDPR, trade secrets and often NIS2.

Public administration

Digital sovereignty and EU AI Act obligations for deploying AI in the public sector.

Healthcare and medicine

Health data is a special category under GDPR (Art. 9). Data never leaves the environment.

Features

What it does

Runs in the EU on NVIDIA GPUs

H100 / H200 in an EU datacenter, an inference layer tuned for throughput and latency (vLLM, TensorRT-LLM).

Isolation matched to sensitivity

From a logically separated environment (single-tenant) to dedicated capacity just for you, or on-premise.

Open-weight models

Mistral, Llama, Qwen, DeepSeek, gpt-oss. Chosen by task, language and the sovereignty you require.

Fine-tuning and RAG

Fine-tune a model on your data, or build RAG with access to your documents.

Your data stays yours

No training on your inputs, no handover to third parties, auditable access.

SovereignAI is sovereign AI infrastructure: powerful language models and inference capacity that we operate inside the EU so your data never leaves the jurisdiction. It is not a wrapper over someone else's API, but real capacity on NVIDIA GPU accelerators in an EU datacenter, which you deploy as an API, as dedicated capacity just for you, or directly on-premise.

Why it exists

Large language models from the big US providers are excellent, but the moment you send them the content of a contract, medical records or an internal file, your data leaves the EU and you hand it to a provider who is also subject to US law. For a regulated company, public administration and healthcare that is the reason AI is not deployed into sensitive processes at all. SovereignAI solves exactly this: the same performance, but under your control and in the EU.

For more on what it runs on, which models work there and what it costs versus your own on-prem, see the article SovereignAI: powerful LLMs that never leave the EU.

How to start

You can start small via the API and "grow into" dedicated capacity the moment volume and data sensitivity call for it. Write to us and we will go through your specific case, the right model, and whether the API or dedicated capacity suits you better.

Pricing

Pay-as-you-go API

usage-based

  • A sovereign alternative to the big AI APIs
  • Hosted in the EU, GDPR and EU AI Act compliant
  • Fast start, you pay for what you use
Most popular

Dedicated capacity

monthly

  • Your own GPUs and models, just for you
  • Strict isolation, a predictable fee
  • For scale and the most sensitive deployments

On-premise

custom

  • Deployed on your own hardware
  • Maximum isolation, air-gap possible
  • We build it and service it

FAQ

Frequently asked questions

Why isn't picking a European region with a big provider enough?

Because if the cloud operator is a US company, it is subject to US law (CLOUD Act, FISA) regardless of where the servers physically stand. Sovereignty is not about where the datacenter is, but about who has legal and actual control over the data. We operate SovereignAI inside the EU so the data never leaves the jurisdiction.

Are models of Asian origin (Qwen, DeepSeek) safe too?

From a data-leak perspective, yes, because the weights run locally and your data never leaves the environment, the model sends nothing home. What stays relevant is the model's behaviour (built-in restrictions, bias), which is why for the most sensitive deployments (medicine, parts of public administration) we can curate the choice to EU-origin models (Mistral).

When does on-premise make sense over shared capacity?

Full on-prem makes sense where you need maximum isolation, have high and steady utilization, and the capacity for your own operations team. For most organisations, shared or dedicated sovereign capacity is cheaper and faster, with no capex tied up in hardware that goes obsolete.

What tasks can SovereignAI handle?

The same as any LLM: document extraction and summarisation, internal RAG assistants over your policies and files, classification and drafting, agentic workflows. The difference is where it runs and who can access the data.

See SovereignAI in action?

We'll walk you through it on your own data and processes, not a generic deck. We'll get back to you within 24 hours.

  • No commitment
  • A concrete case, not a sales pitch
  • Reply usually the next business day