Data and evidence
Define locality, classification, retention, access, lineage, transformation, and permitted use.
Sovereign Intelligence
Control the boundary. Preserve the intelligence.
Deploy governed intelligence inside customer-controlled environments, with explicit control over identity, data, policy, integration, observability, and lifecycle.
Sovereignty by architecture
Sovereignty is not a hosting label. It is the ability to control where intelligence runs, what it can see, what it may do, and how it changes.
Deployment topology
Boundaries are explicit. Exchange is governed.
The topology is configured to the customer's operating, security, regulatory, and jurisdictional requirements.
Sovereign deploymentCustomer-controlled boundary
Customer boundary
- Identity and access
- Operational and engineering data
- Policies and decision rights
- Audit and evidence history
Tangerine intelligence plane
- Context and state
- Governed reasoning
- Workflow orchestration
- Observability and lifecycle
Execution environment
- Industrial systems
- Engineering toolchains
- Enterprise services
- Human decision owners
Policy-governed exchange · explicit identity · observable actions · controlled release
Control surfaces
Sovereignty is exercised throughout the lifecycle.
Identity and authority
Bind people, services, roles, policies, approvals, and execution rights to the customer environment.
Models and methods
Control selection, evaluation, release, versioning, isolation, rollback, and retirement.
Integration
Govern which systems can exchange information or receive actions, under what conditions.
Observability
Make inputs, decisions, exceptions, authority checks, actions, and outcomes reconstructable.
Operations
Define availability, containment, degradation, recovery, maintenance, and support responsibilities.
Customer-controlled lifecycle
Change enters production through evidence.
New integrations, policies, reasoning methods, and workflows are evaluated against defined scenarios, failure conditions, authority boundaries, and rollback criteria before controlled release.
A
Evaluate
Test performance, evidence use, uncertainty, safety, security, and policy compliance.
B
Release
Approve a known version for a defined scope, with monitoring and recovery controls.
Start with consequence
Design intelligence around the boundary you must control.
Choose a decision where fragmented evidence, unclear authority, or slow coordination materially affects the outcome.
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