Which model do you use, and why not a frontier model from OpenAI or Anthropic?
A current-generation open model (Llama, Qwen or Mistral), chosen for each project, installed on your hardware and measured against your own questions. It is not a frontier model and we say so. The reason is the perimeter: sensitive data cannot leave. Commercial models are used in our studio to design and code, never on your sensitive data.
We use the best models in the world to build your system, and a model that lives in your house to run it. What does not fit or does not make sense on the training hardware, we also say.
Sources
- DEBIR glossary: current-generation open model.
- DEBIR architecture document, routing by data type.
Regulatory framework verified against primary sources on November 1, 2026.
- What data leaves my perimeter when I use private AI?
- Do you use our customers’ data to train the model?
- How are data subject rights and the right to object to automated decisions handled?
- What happens if there is a data breach in the system?
- How is the system isolated from the internet and the public cloud?
Discovery sessions, no commitment
With technology, compliance and two process owners. Includes an offline demonstration prepared for your sector, without using your company’s data.
Inventory and obligations
Data in four levels and a first review of what your sector requires.
Three candidate use cases
And the Assessment proposal. The Discovery is credited against the Assessment.
Founding clients program
Three seats, with an explicit discount in exchange for a publishable case and a reference.
Terms
Discovery and evidence pilot at no cost, Assessment at a discount, in exchange for a publishable case, a reference and feedback. Continuous operation is always paid at list price.