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Local AI infrastructure.

Your own language models, in your own environment. We plan, build and operate the infrastructure that lets AI run on your premises — without your data leaving the building.

Data sovereignty is not a feature. It is the foundation.

Cloud AI is convenient — until compliance, a works council or a customer asks where the data is actually processed. For regulated industries, that question is often already decided: in-house.

We build on-premise AI platforms that hold up in production — from a server room setup to a tuned model. You keep control, we handle the complexity.

And if you are not yet sure whether your own stack is worth it, that is exactly where our consulting starts. Honestly, even if the answer is “not yet”.

// What it includes

From hardware to model.

01

Location & hardware

Sizing, GPU procurement, racks and cooling — or integration into your existing datacenter.

Planning
02

Models & tuning

Selecting open LLMs, adapting them to your data and evaluating them against real tasks.

Implementation
03

Security & access

Roles, audit logs and tenant separation. Clear records of who asked what and when.

Implementation
04

Operation & maintenance

Monitoring, updates and scaling. We can stay with the system or train your team to run it.

Operations
100%
On-premise
No data leaves your infrastructure — by design, not by promise.
~6 wks
To pilot
From kickoff to the first productive use case.
24/7
Operation possible
If needed, we take care of monitoring and maintenance long term.
on-prem · sovereign · on-prem · sovereign · 

Your data. Your model.
Your infrastructure.

We deliver AI you own, not rent. The stack, the model and the knowledge we build become yours.

Typical use cases

On-premise AI
01Internal AI assistantAnswer questions about documents, cases and policies without sending sensitive content to external clouds.KnowledgeLLM 02Regulated processesUse AI where privacy, tenant separation and auditability are mandatory.ComplianceAudit 03Owned model platformOperate, evaluate and connect open models to your actual business tasks.OperationsGPU
// Let's talk

Your own AI?
Let's talk.

Tell us about your data and requirements. We will tell you honestly whether on-premise AI makes sense for you.

Discuss a project →