ADG Sovereign AI
Your AI. Your infrastructure. Your control.
Sovereign AI means the organisation — not a vendor — decides which models run, where data lives, who can use what, and how every interaction is governed.
Defensible sovereign LLM ecosystem
One sovereign core. Every system it powers.
Private language models serving healthcare, government, on-premise appliances and fully offline sites — with data residency, privacy and audit built in.
High performance
Optimised inference on the hardware you choose.
Platform agnostic
Runs on-premise, private cloud, hybrid or at the edge.
Hallucination mitigation
Answers grounded in your sources, with citations.
01
Model control
Choose, adapt and version the models you run. Fine-tuned adapters are stored and versioned within your deployment.
- Open-weight base models
- ADG fine-tuned adapters
- Model registry & approvals
02
Data control
Documents, prompts, embeddings and logs stay within the boundary you define.
- Customer-controlled storage
- Encryption at rest & in transit
- Retention you configure
03
Deployment control
Run where your policies require — from your data centre to a selected cloud region.
- On-premise
- Private cloud
- Hybrid with approved services
04
Operational governance
Decide who can use which models, agents and knowledge — and see every interaction.
- Role-based access
- Audit logging
- Human approval policies
Comparison
Public AI services vs. sovereign AI
Both have a place. Sovereign AI is for workloads where control, confidentiality and governance come first.
| Consideration | Public AI service | Sovereign AI with ADGTech |
|---|---|---|
| Where prompts and documents are processed | Third-party provider infrastructure | Infrastructure you select and control |
| Model weights | Held by the provider | Open-weight base + adapters in your deployment |
| Customisation | Limited to provider options | Fine-tuning on your data and tasks |
| Retention and logging | Provider policy | Your policy, your log store |
| External dependencies | Required | Optional, only where you approve |
Deployment options
Run it where your policies require
On-premise
Installed on infrastructure in your own facilities.
Private cloud
Dedicated tenancy in a cloud region you select.
Dedicated infrastructure
Single-tenant hardware operated for you.
Hybrid
Private core with approved external services where you allow them.
Controlled / isolated
Restricted-connectivity environments, subject to configuration and assessment.
Design your sovereign AI architecture
Talk to ADGTech engineers about models, knowledge, agents and where your AI should run.