Your own model.
Trained on your data.
General-purpose models are generalists. We fine-tune leading open-weight models on your documents so they master your terminology, formats and tone, trained and run in Europe.
Fine-tuning run
Evaluated
01
Base model
Leading open-weight model
02
Your data
Curated, personal data removed
03
Training
Dedicated GPUs · H200 · B300 · GB300
04
Evaluation
Tested against your reference answers
05
Deployment
Managed, dedicated or on-premise
Generic AI guesses.
Your model knows.
01
Your terminology
Legal, medical or technical jargon, part numbers and error codes: a fine-tuned model knows them instead of guessing.
02
Your format and tone
Answers in the structure, length and voice your team and your customers expect.
03
Your data stays in Europe
Training data never leaves the Sovereign AI Stack. Training runs on dedicated GPUs in EU data centres.
Where a custom model
pays off.
Legal and compliance
The legal model
The challenge
Reviewing contracts needs knowledge of specific German case law and your internal precedents.
The model
Fine-tuned on your contract archive and the relevant legal texts, it flags risks generic models miss.
Manufacturing and R&D
The engineering model
The challenge
Technicians need answers from thousands of machine manuals and maintenance logs.
The model
Trained on your technical documentation, it understands your part numbers, error codes and procedures.
Healthcare
The clinical model
The challenge
Summarising patient notes requires exact medical terminology and strict privacy.
The model
A specialised model that processes patient data without it ever leaving your secure infrastructure.
From raw data
to your own model.
01
Data curation
We help you select and clean your training data and make sure no personal data ends up in the training set unless intended.
02
Fine-tuning
Training on dedicated GPUs in EU data centres (NVIDIA H200, B300 or GB300), with parameter-efficient or full fine-tuning depending on your goal.
03
Evaluation
We test the model against your reference answers for facts and tone, and reduce hallucinations before it goes live.
04
Deployment
Managed in EU data centres, on dedicated GPUs, or containerised on your own servers.
Questions,
answered.
Anything else? Ask us directly, we are happy to help.
Why fine-tune instead of just using retrieval (SafeChats)?
Which base models do you use?
How much data do I need?
Ready for a model
of your own?
In a free 30-minute call we look at your use case and your data, and tell you whether fine-tuning, retrieval or both will get you there.