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Private AI · GDPR

Private LLMs — use AI without handing over your data

Contracts, HR files, engineering data: much of it must not go to an external AI service. A private language model on your own infrastructure or in an EU data centre gives you an internal assistant that knows your documents — while everything stays under your control.

Why companies want private AI

Confidential data

Customer, HR or R&D data must not leave the company, contractually or legally.

Works council & compliance

External AI services fail at approvals, works agreements or internal policies.

Scattered knowledge

Answers are buried in thousands of PDFs, wikis and inboxes — people search instead of work.

Set up in four steps

  1. 1. Requirements & data protection

    Which data, which users, which permissions? This defines architecture, deletion concept and documentation for the DPO and works council.

  2. 2. Model & hardware

    Choosing a suitable open-source model (e.g. Llama, Mistral, Qwen) and sizing: GPU server, EU cloud or existing infrastructure.

  3. 3. Knowledge connection (RAG)

    Documents are indexed and searchable with permissions; answers cite their sources.

  4. 4. Operation

    Updates, monitoring, quality measurement and training — or handover to your IT.

Your benefits

  • No data to third parties — on-premise or in an EU data centre of your choice
  • Answers with sources and permission checks
  • Predictable costs instead of per-token pricing
  • Documentation for your data protection officer and works council
  • Open standards — no proprietary black box

Frequently asked questions

Are local models good enough?

For well-defined tasks such as questions about internal documents, summaries or classification, current open-source models perform very well. We measure this upfront with your real questions.

What hardware is needed?

For a team of 20–100 users a server with one or two GPUs is often enough. Alternatively we rent GPU capacity in a German or EU data centre.

Is it GDPR-compliant?

If data never leaves your network, there is no third-country transfer. We also document purposes, permissions and retention periods for your records.

What does a private AI assistant cost?

Setup and integration typically land in the low five figures (EUR), plus hardware or rent. You get a fixed-price proposal after the first call.

Check private AI for your company

In a free first call we clarify data, requirements and a realistic architecture — no sales pressure.

Have an idea or a process that eats hours every week?

Let's find out in 30 minutes whether AI or a custom product can fix it, and what it would cost.