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Sovereignty

Runs inside your walls. Stays under your control.

Sovereign AI means the organisation that depends on an AI system controls where it runs, which models it uses, what data it sees and who approves what it does. The RUUT system is designed for that from the start.

What sovereign AI means in practice

Sovereignty is not a single feature. It is four decisions that stay with you: where the system runs, which models it uses, what data it can see, and who approves consequential actions. The RUUT system keeps each of those decisions configurable per deployment.

Sovereignty decisions and where they are enforced in the RUUT system.
DecisionHow RUUT handles it
Where it runsOn-premise on RUUT EDGEBOX, on infrastructure you already operate, in a private cloud, or hybrid.
Which modelsOpen-weight models hosted locally; external providers only for steps where your policy allows them.
What dataAgents reach systems only through governed tools with explicit allow-lists; inputs are screened by FORGE.
Who approvesHuman approval gates you can require for any consequential action, enforced by FORGE.

RUUT EDGEBOX

RUUT EDGEBOX is the on-premise compute foundation for the whole stack. It is designed to host perception, orchestration and verification inside your facility, so camera footage, sensor data and operational records can be processed where they are produced.

Connectivity

Keeping critical inference local reduces dependence on external connectivity for the steps that matter most. Whether a particular deployment runs entirely without an internet connection depends on the components and models chosen, and is confirmed during scoping — we would rather tell you exactly than promise in general.

Accountability

Every signal, decision and action is written to a trace you can review: what came in, what was retrieved, which tool was called with which permissions, which checks ran, who approved, and what happened. That record stays with you.

EDGEBOX

FAQ

Sovereign AI, explained

What is sovereign AI?

Sovereign AI is AI whose operating organisation controls where it runs, which models it uses, what data it can access and who approves its consequential actions. In practice that usually means on-premise or private-cloud deployment, model choice, governed data access and enforced approval gates — the four decisions the RUUT system keeps configurable.

What is the difference between on-premise AI and edge AI?

On-premise AI runs on infrastructure inside your organisation's own facilities. Edge AI runs close to where data is produced — next to cameras, sensors or machines — often on-premise as well. RUUT EDGEBOX is designed for both: on your premises, close to the signals it processes.

Can we use cloud models and still keep control?

Yes, selectively. RUUT BRAIN can route specific steps to approved external providers while keeping sensitive steps on local models, and FORGE screens what is sent. Which steps may use which providers is a policy you set, not a default.

Let's talk about your system.

No public pricing — every deployment is scoped to your data, infrastructure and risk tolerance.