On-premise AI
Some data has no business in a cloud, even a European one. We install an inference server on your premises, sized to your usage: local language models, transcription, image generation. Everything runs on your network, under your control.
What you get
Medical records, legal files, industrial data, R&D: some information should not depend on any external provider. A local server cuts the question at the root. No transfer off your network, no cloud subprocessor to audit, no per-user subscriptions piling up. The machine is yours, the data stays with you.
Recent open-weight models, checked for commercial use: language models for your documents and automations, transcription, speech synthesis, image generation. All served through a standard API compatible with the existing ecosystem: your software connects to it like to a cloud service, without rewriting.
No data center required. For most SME workloads, a single well-chosen machine is enough, with controlled power consumption. We start from your real volumes: how many users, which documents, which models. The hardware follows the usage, never the other way around.
We deliver a running server, not a cardboard box. Installation on site, integration with your tools, team training, then remote maintenance: model and security updates, monitoring. We run our own inference on this kind of machine every day, so we know what it takes in production.
Frequently asked questions
A GPU server suited to the target models. For most SME workloads, a machine the size of an office tower is enough. We size it after seeing your real usage, not before.
Recent open-weight models: LLMs for text and documents, transcription, speech synthesis, image generation. We check licences for commercial use before installing anything.
For well-scoped tasks — extraction, summarising, question answering over your documents — a recent local model configured properly gives excellent results. If your use case goes beyond what local models can do, we say so before installing a machine.
We do, remotely or on site: model updates, security patches, monitoring. You stay the owner of the machine and the data, and your team is trained for daily use.
That is the main argument: the data never leaves your network. No transfers outside the EU, no cloud subprocessor to document, a much simpler processing register.
One call is enough to know whether the topic deserves a real project.
Scope an installation