Private AI · LLM
Private AI: your LLMs on company data
ChatGPT, Claude, Gemini, or Grok become useful when they see your systems — not the public web. Data stays local or on your private network. Goal: a strategic view for leadership, with instant detailed analyses thanks to AI on your data. What gets measured gets better.
Eyes and hands inside your perimeter
A generic LLM ignores your margin, AR, and business definitions. Wired to the warehouse and marts, it prepares options and gaps for the committee — without replacing your decision.
We favor a controlled frame: traced access, human approval on sensitive actions, Canada hosting when the mandate requires it.
What it is not
- ·Not a marketing chatbot disconnected from the ERP
- ·Not training public models on your data
- ·Not an “AI” project without data foundations
Realistic prerequisites
Without foundations (definitions, quality, marts), the assistant invents. The Génosa path stays: diagnostic → foundations → cockpit → useful LLMs. See also the Super AI assistant guide.
Frequently asked questions
Do data leave our network?
The chosen frame keeps data local or on your private network, stored securely. Cloud modalities are confirmed per mandate.
Which LLM do you recommend?
Whatever fits the mandate — ChatGPT, Claude, Gemini, Grok, or Azure OpenAI — wired to your data, not an ideological pick.
Explore useful private AI
Book a free diagnostic to judge whether your foundations are ready for a credible LLM.
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