Where is it processed?
Agree storage, inference, retrieval and backup locations. UK hosting alone does not establish sovereignty.
Sovereign & private AI
Use AI with control over your company data.
We design, build and operate private AI around your data boundaries, access requirements and infrastructure needs.
Approved data
Access policy
Client requirements
Your agreed environment
Model inference
Knowledge retrieval
Controlled tools
Control starts with the whole data flow.
Who can access it?
Identify cloud processors, model developers, support access and administrators. “Not used for training” does not mean “not processed”.
What can the AI do?
Scope tools and permissions, log relevant actions and define which decisions need human approval.
Choose the architecture that fits.
The choice follows your use case, not a universal promise.
Suitable cloud services
Use a managed service where its processing, retention and access terms meet your requirements.
Dedicated infrastructure
Assess isolated capacity and operating controls where shared arrangements do not fit.
On-premise or self-hosted
Consider running inference inside your agreed environment where external model APIs are not appropriate.
Safe agent adoption is an operating question.
The UK’s Enabling Safe AI Agent Adoption procurement challenge focuses on context-specific risk evidence, resilience, architecture, monitoring and controls. That reinforces the importance of evaluating how an agent will operate, not just where it is hosted.
Read the official challenge. This is policy context, not a claim of government approval or an award to Maaten.
Define your private AI requirements.
Bring your use case and data constraints. We will work through the deployment options and practical trade-offs.
How it connects.
A concept diagram of the approach. The detailed design and controls are agreed for your business.
