SOVEREIGN AI

Keep AI capability aligned with your data, controls, and jurisdiction.

Deploy Sophea AI where your data lives and you determine who can access, use, and manage it.

Core Principles

You set the policies. You approve access. You retain full ownership of data and models.

Keep data in-country or in-region. Meet residency requirements and minimize data movement.

Operate independently with redundant, high-availability architectures.

Built-in governance across the AI lifecycle to ensure safe, accountable use.

Plan an operated environment around your governance requirements.

Data residency: Location and data paths agreed during discovery.
Access control: Roles, source permissions, and administrator responsibilities to be agreed.
Infrastructure: Agreed data, access, and configuration boundaries
Operations: Sophea-operated scope to be agreed
Patching & updates: Update ownership, schedule, and support scope defined in the operating agreement.

Align a dedicated environment with your enterprise systems.

Data residency: Location and data paths agreed during discovery.
Access control: Roles, source permissions, and administrator responsibilities to be agreed.
Infrastructure: Environment and integration responsibilities to be agreed
Operations: Shared responsibilities defined during discovery
Patching & updates: Update ownership, schedule, and support scope defined in the operating agreement.

Explore operation within your own infrastructure perimeter.

Data residency: Within the customer’s selected infrastructure; validate all data paths.
Access control: Roles, source permissions, and administrator responsibilities to be agreed.
Infrastructure: Customer-defined infrastructure and network boundaries
Operations: Customer operation and support scope to be validated
Patching & updates: Update ownership, schedule, and support scope defined in the operating agreement.

Deployment availability, location, controls, and operating responsibilities are subject to product validation.