AI & sovereign solutions

AI built around your security boundary.

Private inference, governed RAG and controlled agent workflows designed for environments where data sovereignty, assurance and auditability matter.

Secure data centre supporting private AI

Sovereign AI

Package the model into a secure operational capability.

The model is only one component. A production capability also needs identity, retrieval, data controls, orchestration, logging, human approval, infrastructure and an assurance model.

  • Private or local LLM inference
  • Retrieval over authoritative knowledge
  • Permission-aware search and grounding
  • Agent tools constrained by task and user
  • Central audit and operational monitoring

Reference architecture

Three core layers, one controlled environment.

Secure user experienceChat · workflow · human approval
→
RAG & agentsRetrieval · grounding · tools
→
Private inferenceModels · GPUs · platform
LLM

Inference

Run selected models inside the authorised environment rather than sending prompts to an external public service.

RAG

Grounding

Retrieve relevant authorised source material at query time and provide it to the model with citations or provenance.

AGT

Agents

Orchestrate controlled tools and workflows with explicit permissions, logging and human approval for consequential actions.

Use cases

Move beyond a generic chatbot.

Briefing production

Find source material, extract evidence and generate a structured review-ready draft.

Technical knowledge assistant

Search architecture, policy, design and operational documents with source-backed answers.

Workflow automation

Coordinate multi-step analysis, document preparation, data lookups and approval steps.

Large corpus triage

Organise and search large document collections, surfacing relevant material faster.

Engineering copilot

Support technical analysis, configuration review and documentation inside a controlled boundary.

AI assurance

Evaluate model behaviour, retrieval quality, security controls and human oversight before production use.

Security note: the accreditation status belongs to the actual deployed system and boundary. A model, RAG framework or AI application is not automatically authorised for classified processing merely because the underlying technology can run on-premises.

Delivery path

From use case to controlled production.

Discover

Prioritise use cases, data sources, user groups and risks.

Architect

Define the security boundary, hosting, identity and data model.

Prototype

Build a representative RAG or agent workflow with measurable tests.

Assure

Evaluate controls, model behaviour, retrieval and operational risk.

Operate

Monitor, patch, evaluate and evolve models and workflows safely.

Sovereign AI

Build the capability, not just the demo.

We can help shape the architecture, integration, workflows and assurance approach around your environment.

Discuss an AI use case →