Sovereign LLMs that keep your data in-house or inside the EU
Run powerful large language models without sending a single token to OpenAI, Google or any other third-party provider. For regulated and privacy-conscious teams - finance, healthcare, legal, public sector - we deploy open-weight models on your own hardware or a dedicated EU instance, so your proprietary data and customer records never leave your control.
Either way: dedicated, single-tenant, and no vendor lock-in
On your own hardware
Best fit: regulated industries and air-gapped environments where data must physically stay on site
Request a free initial assessmentDedicated instance in German data centers
Best fit: teams that want EU data residency and a fast start without buying or running GPUs
Request a free initial assessmentOn-Premise | Cloud-Hosted | |
|---|---|---|
| Initial Costs | Hardware investment (from ~€15,000) | No investment |
| Ongoing Costs | Power & maintenance (~€300/month) | Monthly fee (from €499) |
| Data Location | In your building | German data center (DE) |
| Setup Time | 2-4 weeks | 3-7 days |
| Scaling | Hardware upgrade required | Flexibly adjustable |
| IT Requirements | Own IT team recommended | Fully managed |
| Break-even | Cheaper from around 26 to 27 users — from around 9 with expensive US premium models | Immediately operational |
| GDPR Status | Full control | EU data center, DPA included |
All figures net, in euros. Break-even is not a question of months but of user count — the derivation, the formula and a calculator for your own scenario are in the guide: On-premise AI: costs and break-even
Prompts, documents and customer data stay within your perimeter. Nothing is logged, retained or used for training by a third party - a hard requirement for many regulated workloads.
A clear, demonstrable data flow for GDPR, NIS2 and sector rules: no transatlantic transfers, no opaque sub-processors, full documentation for your audits.
We run open-weight models like Llama, Mistral or Qwen that you own and can move freely - no per-token pricing and no dependency on a single API vendor.
Fine-tuning and retrieval-augmented generation (RAG) ground the model in your own knowledge base, so answers reflect your data instead of the public internet.
Learn more about the legal requirements for GDPR-compliant AI systems
Find the right starting point for AI, blockchain, or custom software in under 2 minutes – with a concrete next step and a price indication.
Reference project