An AI installed in your company, without the cloud

Why install the AI at your premises

Consumer AI tools send every question, and the documents attached to it, to servers abroad. For a sales department, that means customer history, prices and negotiated terms. Installing the AI on site removes that flow: nothing leaves, and you know exactly where your data is.

Your know-how, gathered in a base that stays with you

A company's know-how is everywhere and nowhere: in the ERP, e-mails, the e-shop chat, data sheets, spreadsheets, shared folders — and in the heads of those who have worked there for a long time. Each tool knows a piece of it, none knows the whole.

That is where our work starts.

We gather the company's scattered data: customer histories, items and prices, technical documents, procedures, exchanges, past decisions.

We organise this knowledge in a single database, structured around your business: who your customers are, what you sell, how you make it, how you answer. This base represents your company's know-how.

We build on it. Every tool we develop — reply assistant, quote preparation, document search, management summary — draws on this same base. A new tool does not have to relearn everything: it starts from what the company already knows.

It stays with you, always. The knowledge base is installed on your premises and belongs to you. It does not go to an AI provider and is not used to train any third-party model. If a language model is replaced by a better one, or if you change provider, your know-how stays where it is.

It grows with use. Every question asked, every answer corrected by your teams, every new document completes it. The day a key person leaves, part of what they knew is already there.

AI models change every six months. Your know-how has to last.

What is installed

• A dedicated unit, the size of a small desktop computer, with a graphics card suited to the chosen model
• An open language model, run locally, sized to your volume and languages
• The company's knowledge base: your know-how gathered and organised, enriched through use
• Connections to your existing tools: ERP exports, chat history, e-mails, product sheets

User access

The application is accessible on the web, through your tools or a dedicated app.

Availability and alerts

We measure the share of time the service responds, and we are alerted before your users if something stops. The unit is designed to restart on its own; backups stay on your network.

Updates

The copilot improves every week with its users' feedback. Updates are tested on your data before being installed, and every version can be rolled back. Language models evolve fast: we replace them when a better model fits on the same hardware. When a language model is replaced, the knowledge base does not change: the new model starts from everything the company has already gathered.

Local or cloud: how to choose

Local is the answer as soon as data is sensitive or contractually protected: customer history, prices, drawings, health data. The cloud remains relevant for tasks without confidential data or for a one-off load peak. We decide at the mapping, process by process — and a local copilot can stay local even if other uses go to the cloud.