Transformation · Service pathway

Private AI

Client material can never touch a public AI tool.

Inside the work

What this can address

The assessment can compare private or sovereign-cloud hosting with on-premises inference, open-weight model options and ongoing operations. Architecture depends on the data, security, cost and support constraints; no blanket residency guarantee is implied.

  1. 01

    Private or sovereign-cloud model hosting

  2. 02

    On-premises GPU inference

  3. 03

    Open-weight model selection and evaluation

  4. 04

    Operations, patching and red-teaming

Useful outputs

What your team can take forward

Final scope, responsibilities and acceptance criteria are confirmed before work begins; listed outputs are planning references, not a fixed proposal.

  • Deployed private environment
  • Operating model

Who this is for

Law firms, audit firms, clinics, family offices

Connected needs

Related challenges

Send an enquiry

Facing this? Tell us about it.

Fill in this short form. Our team reads every enquiry and replies by email.

About Private AI

  1. We read your message and pass it to the right team.
  2. We reply by email to agree on next steps, such as a short call.

Not sure which service fits? Find your starting point · See all six labs

We’ll use your details to respond to this enquiry (Privacy notice). Please don’t include passwords or confidential client data.

Start a conversation

Tell us what you need.

A little context helps us direct your enquiry to the right person.

Checking enquiry availability…

We’ll use your details to respond to this enquiry (Privacy notice). Please don’t include passwords or confidential client data.