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GenArtifactAI

Division 02 · GenArtifactAI Private AI

Answers from your documents, deployed where your data may live.

Knowledge assistants over your own documents, deployed where your data is allowed to live.

  • Private knowledge assistants and RAG
  • Local and customer-hosted deployments
  • Cloud and hybrid options where supported

Your hardware

Where should it run?
Your data
On your own devices or on-premises servers.
The model
Open-weight models running on your hardware.
Best for
Confidential documents, restricted networks, offline use.
Trade-offs
Hardware you own limits model size and speed.

Cloud and hybrid options are offered where the provider and your data policy support them.

Private AI

Planned offerings

Everything in Private AI is currently Planned: on the roadmap, not yet available to buy or book.

  • Status: Planned

    Private knowledge assistant

    Ask questions across your documents and get answers that cite the passages they came from.

  • Status: Planned

    Local deployment

    Models and documents on your own hardware, designed to run without sending data outside.

  • Status: Planned

    Customer-hosted deployment

    Deployed in your servers or your own cloud account, under your access controls.

  • Status: Planned

    Hybrid and cloud options

    Hosted model APIs where your data policy allows it, with the trade-offs written down up front.

Status labels: Available is offered now, Pilot is being validated with early users, Planned is on the roadmap.

Approach

How it works

  1. 01

    Classify your data

    Agree which documents are in scope and what may never leave your environment.

  2. 02

    Choose the deployment

    Local, customer-hosted, hybrid or cloud, decided by your constraints rather than ours.

  3. 03

    Build retrieval with citations

    Every answer points back to its sources so people can verify it.

  4. 04

    Evaluate before rollout

    Test against real questions from your team and fix gaps before anyone relies on it.

Good fit

Who this is for

  • Teams with large internal knowledge bases
  • Organisations with confidentiality requirements
  • Technical teams evaluating local models

Not sure Private AI is the right fit?

Start with the solution finder, or send an enquiry about the division that fits.