What we do
Local AI implementation
Buying AI as a service means paying per request and handing your data to someone else. A model on your own servers reverses both: the cost is the cost of the machine, and the data stays in the building. We select the model, tune it to your field, and set it up on your premises.
What it covers
A model in your own house
Selection, setup and operation of an open language model on your hardware. No request leaves your network.
Tuned to your knowledge
Manuals, contracts and case files are made searchable (RAG) or worked into the model itself (fine-tuning). Answers come from your own records, not from the internet.
Agents that take on work
Beyond answering questions: checking invoices, preparing quotes, routing cases — steps someone does by hand today.
Costed beforehand
Before anything is built, there is the calculation: what each process costs in time, what an own model costs, and when it pays for itself. The result is a plan with numbers, not a study.
Operation and improvement
AI systems age quickly. We monitor, measure and improve them — with agreed response times instead of ad-hoc calls.
Tell us where it hurts
A conversation, not a sales round. If we are not the right fit, we will say so.