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Private AI development and on-premise AI deployment in the UAE

Your own AI, on your own servers or in a UAE data centre. Company data stays under your control.

What you receive from private and on-premise AI

Some files should never be pasted into a public AI service: patient records, client matters, financial accounts, tender submissions.

Private AI gives your staff the same kind of assistant, running on hardware you control, so those files stay where they are.

  • A private assistant

    A chat assistant for your staff that answers from your own documents.

  • A model you host

    An open AI model installed on your infrastructure, with no outside provider in the loop.

  • A choice of location

    Your own server room, a rack in a UAE data centre, or a private cloud tenancy in the UAE.

  • Access control

    Logins tied to your company directory, with each person seeing only what they are allowed to.

  • An audit log

    A record of who asked what, kept inside your network.

  • An offline option

    A fully isolated set-up for work that must not touch the internet.

How private and on-premise AI works

  1. 1

    Sizing

    We size the hardware to the number of users and the kind of work.

  2. 2

    Installation

    The model, the assistant and document search are installed and secured.

  3. 3

    Connection

    Your documents are indexed where they sit. Nothing is copied outside.

  4. 4

    Operation

    We monitor, update and support the system, or train your team to.

Is this the right service for you?

It fits when

  • Your data is confidential or regulated
  • Staff are already pasting files into public AI tools
  • You want AI with no dependence on an outside provider

It is not for you if

  • Your work involves no sensitive data
  • You want the newest public model the week it is released

How a private and on-premise AI engagement runs

Four steps. Each one ends with something you can hold, and you decide whether to go on to the next.

  1. 1

    Assess

    We sit with your team and follow the work as it is done today: the documents, the systems, the approvals and the rules of your sector.

    You receive: a written assessment
  2. 2

    Plan

    Every idea is scored on what it would save and what it would take. You see the ranking and choose what goes first.

    You receive: a ranked roadmap
  3. 3

    Build

    We build the first system and connect it to the software you already use. Your staff try it on real work before it goes live.

    You receive: a working system
  4. 4

    Run

    We train your team, compare results with the plan, and stay on until the system is simply how the job gets done.

    You receive: trained people

Questions about private and on-premise AI in the UAE

The questions we are asked most before a first meeting.

Ask us your own
What is private AI?

An AI system that runs on infrastructure you control. Questions, documents and answers are designed to stay inside your network and not go to an outside AI provider.

What is the difference between private AI and on-premise AI?

On-premise means the hardware is in your own building. Private AI also covers a dedicated rack or private tenancy in a UAE data centre. In both, you control the data.

Is a private model as capable as a public one?

For most business work, such as answering from documents, drafting and summarising, open models perform well. We test on your own tasks before you commit.

Can a private AI system work in Arabic?

Yes. We select and test models for Arabic and English on your own documents.

Talk to us about private and on-premise AI

Tell us about your company and the job you want AI to take on. A consultant reads every request and replies in person.

  • A first conversation about your company and your aim
  • A written scope: what we would do, in what order
  • A proposal you can take to your partners or board

For project enquiries only. Every engagement is scoped in writing after a consultation.

Request a consultation