Sovereign AI: private LLMs on your own servers
Your own AI on your servers: data never leaves the company
We deploy open language models inside your company perimeter, fine-tune them on your data and connect them to your documents and systems. No foreign clouds, with roles, audit logs and an architecture that meets data protection law and your security team’s rules.
What we do
Four parts of one perimeter. Start with any of them: the perimeter design, a model pilot on available hardware, or GPU sizing.
- Closed AI perimeterA perimeter design for models and data: roles, audit logs, network segments. Built around data protection law and your security rules - before any GPU purchase.Personal dataCritical infrastructureTrade secretsHybrid with the cloudOpen →
- Private LLM on your serversAn open language model inside your perimeter: a corporate AI chat over your documents, an API for your systems, roles and audit logs.Corporate AI chatRAG over your documentsAPI for your systemsPrivate AI agentsOpen →
- Model fine-tuningFine-tuning an open LLM on your data: terminology, answer format, classification. Inside your perimeter, with a quality check.Industry terminologyYour format and styleClassification and extractionA compact model for the taskOpen →
- GPU and infrastructureGPU server sizing for your model and load, site readiness and orchestration. Hardware for the task, not the top of the catalogue.Load profileServer specificationSite readinessServing and orchestrationOpen →
How we work
- 01
Requirements
We clarify which data must not leave: personal data, trade secrets, critical infrastructure. We record your security team’s requirements and the use case behind the project.
- 02
Perimeter architecture
Where models, the knowledge base and logs live, who can access what, and how the perimeter connects to your systems. The design is agreed with security before any hardware is bought.
- 03
Pilot inside the perimeter
4–8 weeks on a real task: model, documents, roles. Acceptance criteria - share of correct answers with a source, speed, hand-offs to people - are agreed upfront.
- 04
Fine-tuning and scaling
If a base model with document search is not enough, we fine-tune it on your data. Users, use cases and capacity grow with the load.
- 05
Support
Monitoring, model and knowledge base updates, incident handling. The perimeter and the code stay yours.
The perimeter is live - next comes support
After launch we support the perimeter: model and knowledge base updates, monitoring, incidents and improvements under a contract or an SLA.