We train AI models and infrastructure for you
We teach AI to work with your data: documents, contracts, products and past communication. We build the knowledge base, fine-tune a model where it pays off and run it in the EU or on your own servers. A free prototype within 3 working days.
What we prepare for you
Data preparation
We select, clean and anonymise the data the AI should learn from. No model works without good data.
Knowledge base (RAG)
The AI answers from your documents and cites the source. The fastest and cheapest way to teach AI about your company.
Fine-tuning
For specialist language, formats or tasks we fine-tune an open-source model so it is more accurate and cheaper to run.
Infrastructure and operation
We deploy the model in an EU cloud or on your hardware, with monitoring, backups and access control.
How we work
- Day 1
Consultation
You show us the data and the task the AI should handle.
- Within 3 working days
Free prototype
A first version on a sample of your data, with accuracy measured.
- By scope
Training and tests
We tune until the model meets the agreed targets.
- After
Operation
Deployment, monitoring and regular retraining on new data.
RAG, fine-tuning or your own model?
Three ways to teach AI about your company. Most companies only need the first.
| Knowledge base (RAG) | Fine-tuning | Model from scratch | |
|---|---|---|---|
| What it is | AI finds the answer in your documents | We tune an existing model on your examples | Training a whole model |
| When it fits | Answers from documents, contracts, guides | Specific language, style or output format | Almost never for a typical company |
| Updates | Just add a document | Retraining | Retraining |
| Cost | Lowest | Medium | Very high |
Open-source models on your servers
When data must not leave the company, we deploy an open-source model (for example from the Llama, Mistral or Qwen families) on your hardware or in an EU cloud. We help choose the model size and hardware for your number of users and the speed you need.
Data quality decides
Before training, we go through the data with you:
- Which documents are current and valid
- What contains personal data and must be anonymised
- Who may access what, so the AI never shows sensitive information
- How new documents will be added automatically
Related terms
Questions
Do we need to train our own AI model?
Usually not. For most companies it is enough to connect a proven model to their own data (RAG) and set clear instructions. We recommend fine-tuning only where it clearly pays off, such as specialist language or a strict output format.
Will our data stay safe?
Yes. We can process data in the EU or on your own servers with open-source models. The agent and the model only get the data they need.
How do we know the model works well?
Before launch we build a test set of questions and tasks from your daily work and measure accuracy. The same tests run after every change.
How much does it cost?
It depends on the data and the approach. We start with a free working prototype within 3 working days, then you get a fixed price.
Bring us one process or one app idea.
In 30 minutes we tell you whether it is worth handing to an AI agent. Then you get a free working prototype within 3 working days. If you don’t like it, you don’t pay.
- We reply within 24 hours on working days
- The engineer who designs it also builds it
- Write in Czech, English, German, Italian or Turkish
Contact
Write to us
Describe the process or app you want done. We reply within 24 hours on working days, and the prototype within 3 working days is free.