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AI that stays inside your walls.

We design, build and run private AI platforms in your own cloud or data centre, so regulated data stays under your control.

Prepare a discussion brief
Your estate boundary
  1. Documents
  2. Embeddings
  3. Vector database
  4. Private model
  5. GPU compute
  6. Answer

Public AI services: not used

Private AI services

  1. 01 AI readiness assessment Find where AI is safe to start, and leave with a prioritised plan.
  2. 02 Private AI platform build Private language models running in your own cloud or data centre.
  3. 03 Proof of concept One use case, built on your own data with agreed security controls.
  4. 04 AI Solution Architect Senior AI architecture and supplier oversight, month by month.

Figures

users supported
45,000
of storage managed
1.2PB
of process time automated
70%
years' experience
15+

Public or private AI.

Most AI tools send your documents to someone else's service and bring the answers back. A private platform keeps every step inside the boundary you already control and audit, and anything that must cross it is named and agreed first.

The usual way: a public AI service

Your estate boundary

Documents
Answer

Documents go out

Answers come back

Someone else's service

Their model
Their compute
Their storage
  • Held on another company's servers
  • Kept and used on their terms
  • Outside your audit and change process
Our way: a private platform in your estate
Documents
Answer

Documents stay in

Answers stay in

Your private platform

Your model
Your compute
Your storage
  • Held in your own cloud or data centre
  • Kept and used on your terms
  • Inside your audit and change process

The private side also covers a managed model deployed in your own subscription and a UK region. How each hosting option works.

How a private AI platform stays private.

Four principles shape every platform we build.

Your data stays yours

Documents, embeddings and answers stay inside your own cloud tenancy or data centre. The model runs on compute you control, or as a managed model deployed in your own subscription and a UK region. Nothing is sent to a public AI service.

Built to be assured

Access follows Zero Trust principles, and the architecture is documented so your security and compliance teams can review the design before deciding to sign it off.

Delivered as code

Infrastructure and pipelines are defined in code and deployed through your own change process, so every environment can be rebuilt from your repository and audited.

Run with your team

You should be able to run, change or rebuild the platform without us. We operate it alongside your engineers or hand it over fully documented, we supply no software or services of our own, and every licence and account is in your organisation's name.

The standards we design to.

CIS Benchmarks and Controls
The Center for Internet Security's hardening guides for specific systems, and its 18 prioritised Critical Security Controls.
NCSC Cloud Security Principles
The UK National Cyber Security Centre's 14 principles for choosing and using cloud services securely.
Azure security
The Microsoft cloud security benchmark: Microsoft's security best practices for Azure workloads, assessed through Defender for Cloud.

Four ways to start, each with a fixed scope.

You work directly with the senior architect who designs your platform. Any other specialist is named in the scope and joins only with your agreement. Scope and fee are agreed in writing before any work starts.

AI readiness assessment

For organisations that want to use AI and need to know where it is safe to begin.

  • A review of your data, infrastructure and security position
  • AI use cases ranked by value and by risk
  • A prioritised plan your board and compliance team can act on

Ends with a prioritised plan and a list of open decisions.

Private AI platform build

For teams ready to run language models on their own documents, inside their own estate.

  • Architecture and design documentation written for your assurance process
  • A private model with retrieval over your documents, in your cloud or data centre
  • Infrastructure as code, deployment pipelines and a documented handover

Ends with a running platform, its code and an architecture pack. See what you receive.

Proof of concept

For teams with one use case in mind and a decision to make about it.

  • A working application on your own data
  • Built with agreed security controls, so it can be kept if it passes your review
  • A measured result and a recommendation on whether to scale

Ends with a measured result and a decision: continue, change or stop.

AI Solution Architect

For organisations that need senior AI architecture without a permanent hire.

  • Regular architecture guidance for your programme
  • Design review of work by your own team and your suppliers
  • Independent oversight of your AI suppliers

Each month ends with written findings and a current list of open decisions.

Start with an assessment.

Tell us what you want AI to do and what your data is not allowed to do. We will come back with a scope. We are based in Oxford and work with organisations across Oxfordshire, the Thames Valley and the UK.

We use these details only to reply to you. Read our privacy notice.

Prefer email? Write to info@tlgsolutions.co.uk.

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