AI that never
leaves the building.

The AI model and all processing run on hardware in your own data centre or server room. No data is sent to any external cloud service. You own the hardware, control the access, and the system can operate fully air-gapped — with no internet connection at all.

Our fastest deployment was 3 weeks from contract to production. A typical pilot takes 6–12 weeks depending on integration complexity and your IT readiness.

Fixed per phase: a €9,800 sovereignty assessment (credited against the build), pilots from €120,000, and managed service from €6,000/month. There are no token-based running costs — just infrastructure and support.

We specify it during the assessment. Production-grade inference for a 70B-class model typically lands between €40,000 and €190,000 in hardware, depending on throughput. We procure at cost, or deploy on GPUs you already own.

Often contested, which is the problem. EU–US transfer frameworks remain under court challenge, and a cloud LLM prompt containing patient or client facts is a disclosure to a third party. On-premise deployment removes the question entirely: the data never leaves your network.

Open-weights models — Mistral, Llama, Whisper, and others — fine-tuned on your domain, plus our Olingo model line for healthcare and legal workloads. You own the resulting weights.

Your IT team, with our managed service behind it: monitoring, model updates (delivered offline for air-gapped sites), and an incident SLA. Full handover to your team is an option, not a hostage negotiation.

Yes. We port cloud AI products to customer hardware: local inference replaces external API calls, the stack is containerised, and updates work air-gapped. Fixed scope, typically four to ten weeks.