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Sovereign AI · on-premise · reversibility

Sovereign AI,
within your boundaries.

We design an architecture where data location, model choices, access and operations match your actual requirements.

30-minute initial conversationResponse within 48 hoursNo obligation
01 · Data

You choose where information flows.

Flows, processing, logs and backups are mapped and restricted to the agreed boundaries.

02 · Technology

Components remain replaceable.

Models and inference engines are selected with their licences, dependencies and exit options in mind.

03 · Governance

Decisions become verifiable.

Access, actions, responsibilities and control procedures are documented for your teams.

The right scope

What does sovereign mean in your context?

The term is useful only when translated into specific technical and organisational decisions.

  1. 01

    Data must not leave a defined infrastructure or area.

  2. 02

    You need to identify and limit every external dependency.

  3. 03

    Internal teams must be able to take over system operations.

  4. 04

    Access, use and changes must be traceable and auditable.

Delivery scope

An operational system.
Beyond a demonstration.

Every element is selected for your actual use, documented and prepared to evolve.

  1. 01Data and flow mapping✓
  2. 02Dependency and licence analysis✓
  3. 03Private cloud, hybrid or on-premise architecture✓
  4. 04Identity and access management✓
  5. 05Encryption, networking and isolation✓
  6. 06Usage and change traceability✓
  7. 07Continuity and exit plan✓
  8. 08Documentation and team handover✓
Method

From business need
to a working system.

A gradual, observable and reversible transition. You approve the result at every step.

01

Define

Turn sovereignty requirements into verifiable, prioritised rules.

02

Evaluate

Compare security, performance, cost, operations and dependencies.

03

Deploy

Install components within the chosen boundaries and test the controls.

04

Share

Document operations, responsibilities and exit options.

Questions

Before
you get started.

01Does sovereign AI require an on-premise deployment?+

Not always. Depending on your rules, a private cloud or hybrid architecture may meet the need. We first define the boundaries to respect.

02Do you only use European models?+

The choice depends on your licensing, hosting, performance and dependency requirements. These criteria are made explicit before any decision.

03Can we take over operations later?+

Yes. Documentation, component separation and knowledge transfer are specifically designed to prepare for this transition.

04How does a project like this start?+

By mapping data, systems, responsibilities and constraints. The architecture comes afterwards.

Initial conversation · 30 minutes

Let's discuss your
actual constraint.

Describe the context. We will respond with practical options and a suitable next step.

Book an assessment ↗Video call · 30 minutes · No obligation