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Your own AI assistant, with your data in your hands

Are your staff pasting customer emails, price lists and contracts into public ChatGPT to get work done? A private AI assistant handles the same everyday jobs on hardware you buy or on a GPU server rented in the cloud, set up by us, so company information stays inside.

A private assistant: why teams want one

  • Company information stays inside: questions, files and answers do not go to a public chat service.
  • Access control: you decide who can use it and which folders each team can search.
  • Answers from your own documents, which a public chatbot cannot see.

Answers from your files, with permissions

You choose which folders it can search: policies, price lists, product sheets, manuals. Each person only gets answers from files they are allowed to open. Here is one question from start to finish.

This is an example; the details are made up.
  1. Person

    Someone in customer service asks: “What is our return window for wholesale accounts?”

  2. AI

    The assistant searches only the folders this person may open, and finds the wholesale terms.

  3. AI

    It answers in two sentences and names the document and page it used.

  4. Person

    Before replying to the customer, they open the document and check.

AI
AI sorts or drafts, by your rules
Person
A person checks or acts

How we set it up, on your hardware or a rented server

  1. 01

    Where it runs

    On hardware you buy, such as a server or a powerful desktop in your office, or on a GPU server rented in the cloud.

  2. 02

    The model

    An open model such as DeepSeek, Qwen or Llama, chosen for your tasks.

  3. 03

    Set up

    We install it, connect your folders and set who can see what.

  4. 04

    Go live

    Your staff use it instead of public chat tools.

Questions about private AI

Is a private model as good as ChatGPT?

Not for every task. For everyday writing, summaries and questions about your own files, a good open model does the job well; for hard reasoning and the newest features, the big commercial models are still ahead.

What hardware do we need?

It depends on the model and on how many people use it at once: one desktop with a strong graphics card can be enough, or you can rent a GPU server in the cloud.

Next step

Contact us about private AI

Tell us how your team uses AI today and roughly how many people would use a private assistant.