The Sovereignty Ladder

Five levels of control your AI can run at.

Every AI system sits somewhere between rented and owned. The Sovereignty Ladder is how we name that scale: five rungs from Exposed to Owned. The first thing a Sprint tells you is which rung you stand on today. Every stage after that is about moving you up.

  1. 01

    Exposed

    Models and data run in a third-party cloud under foreign jurisdiction. You rent the capability; the provider holds the keys, the logs, and the off-switch.

  2. 02

    Constrained

    The same external platform, now with EU-region hosting and a data-processing agreement. Better paperwork, but the same underlying dependency.

  3. 03

    Contained

    Workloads move into your private cloud with open-weight models. Your data stays inside your perimeter, though some tooling and operations still lean on outside services.

  4. 04

    Operated

    The whole stack runs on infrastructure you control, on-prem or in a sovereign cloud, with open weights and full source. We operate it alongside your team, day to day.

  5. 05

    Owned

    Your team runs the system end to end: your hardware, your weights, your code, and the skills to keep it running without us. Full sovereignty, and the point of every engagement.

Our four engagement stages are simply the path up this ladder: from an honest read of where you stand to a system your own team owns and operates.

Start with the Sprint

Find out which rung you stand on.

Start with the two-minute self-check for an estimate. When you want an audited answer, the two-week ML Feasibility Sprint includes a sovereignty assessment of your current stack.

Take the self-check Book a call