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ARTIFICIAL INTELLIGENCE SOVEREIGNTY

Keep the future in our hands.

Sovereignty for the age of intelligence.

We are building the technology needed to develop and operate AI with technological autonomy.

The ability to decide. The freedom to evolve.

01 / THE PRODUCT

PHASE 1 / COMPRESSION AND OPTIMISATION

More intelligence per unit of compute.(Intelligence density)

We compress models to make intelligence more efficient, faster and more accessible.

We reduce the resources needed to run AI models, aiming to preserve their capabilities as far as possible.

THREE VARIABLES. ONE GOAL: DO MORE WITH LESS.

  1. 01

    Efficiency

    Less compute, memory and cost to run the same intelligence.

  2. 02

    Speed

    Lower latency and greater throughput.

  3. 03

    Intelligence

    During optimisation, we measure and preserve the model’s capabilities against the original.

Fewer resources for the same capability. More places where intelligence can run.

02 / OUR THESIS

Sovereignty starts with efficiency.

The less compute intelligence needs, the greater the freedom to choose where it runs and who can run it.

CompressionEfficiencyLess dependenceGreater sovereignty

03 / TOWARDS THE COMPLETE SYSTEM

We start with models. We are moving towards complete sovereignty.

  1. 01 / MODELS

    More intelligence with less compute.

    We compress and optimise models to reduce the resources needed to run them without sacrificing their capabilities.

  2. 02 / CAPACITY

    From model to system.

    We extend sovereignty to infrastructure, data, security and governance to reduce dependencies in every layer.

  3. 03 / SOVEREIGNTY

    End-to-end control.

    Developing, operating and evolving AI with your own decision-making power across the entire system.

04 / THE FIVE PILLARS

Five pillars to preserve that ability.

Infrastructure, data and models underpin AI. Security and governance span all three: protecting its operation and determining who can make decisions about it.

PILLAR 01 / INFRASTRUCTURE

Execute.

AI needs compute, connectivity and energy to function. Sovereignty starts with access to these resources without being tied to a single infrastructure environment.

THE KEY QUESTION

Can you run your AI where and when you need it?

WHAT IT INCLUDES

  1. Data centres

    Facilities that bring together servers, storage and networks. Their location and access conditions determine where AI can operate.

  2. Compute and GPUs

    Computing capacity to train and run models. It determines how much you can operate, experiment and scale.

  3. Networks

    Connectivity that moves data between models, systems and users. Its capacity and availability affect latency and continuity.

  4. Energy

    The power needed to sustain compute. Its availability and cost limit how much infrastructure can operate and scale.

  5. Sovereign cloud

    Cloud services with clear terms on location, jurisdiction, access and the portability of data and workloads.

PILLAR 02 / DATA

Know.

Without access, rights and traceability over data, you cannot adapt or operate AI autonomously.

THE KEY QUESTION

Can you access, use and move your data when you need to?

WHAT IT INCLUDES

  1. Storage and portability

    The ability to store, export and move data without losing access, structure or permissions.

  2. Location and terms of use

    Knowing where data is stored and processed and which rules and contracts affect its use.

  3. Access

    Defining who can view, modify, share or delete each dataset.

  4. Quality and traceability

    Knowing the origin, transformations, versions and reliability of data.

  5. Use in AI

    Having the rights and resources needed to use data for training, adaptation, evaluation and inference.

PILLAR 03 / MODELS

Choose.

Our Phase 1 starts here: we compress and optimise models to reduce the resources they need and broaden where they can run. Sovereignty also requires the ability to choose, adapt and replace them.

THE KEY QUESTION

Can you run, adapt and replace the intelligence you use?

WHAT IT INCLUDES

  1. PHASE 1

    Compression and optimisation

    Reducing memory, compute and latency while preserving the model’s capabilities as far as possible.

  2. Your own models

    Developing your own models when external models cannot adequately meet a critical need.

  3. Open models

    Using models you can download, run and adapt outside a closed platform, within the terms of their licence.

  4. Adaptation and fine-tuning

    Specialising a model for specific data and tasks without developing it again from scratch.

  5. Inference capacity

    Choosing where a model runs, which hardware it uses, what data it receives and how it is updated.

  6. Licences and intellectual property

    Knowing what you can use, modify, distribute and commercialise.

PILLAR 04 / SECURITY

Protect.

Security protects access, integrity and continuity across infrastructure, data and models against attacks and failures.

THE KEY QUESTION

Can you prevent, detect and recover from an incident without losing operational continuity?

WHAT IT INCLUDES

  1. Cybersecurity

    Preventing, detecting and containing attacks against the systems that underpin AI.

  2. Identity and access

    Verifying who has access and limiting permissions to what is strictly necessary.

  3. Encryption

    Protecting data at rest and in transit while retaining control of the keys.

  4. Data and model protection

    Preventing leaks, extraction, tampering and unauthorised use.

  5. Resilience and continuity

    Having redundancy, recovery and response capabilities to keep operating or restore service after a failure.

PILLAR 05 / GOVERNANCE

Decide.

Governance determines who can authorise, limit, oversee, modify or stop AI and keeps a record of those decisions.

THE KEY QUESTION

Who has the final say over what your AI can do?

WHAT IT INCLUDES

  1. Decision-making authority

    Defining who can approve deployment, access and changes for each system.

  2. Limits of use

    Setting what AI can and cannot do, and when a person must intervene.

  3. Oversight and accountability

    Reviewing operation, recording decisions and assigning accountability for each system.

  4. Ability to make changes

    The ability to change models, policies and permissions when necessary.

  5. Suspension and withdrawal

    The ability to stop a system, revoke access or replace it when it no longer meets the agreed conditions.

05 / RESEARCH AND DEVELOPMENT

More intelligence. Fewer resources. Better execution.

Our R&D connects three inseparable variables: what the model needs, which capabilities it retains and how it performs on real hardware.

01EFFICIENCYReduce what it needs.

We reduce memory and compute to run models with fewer resources and lower costs.

02INTELLIGENCEPreserve what it can do.

We compare the optimised model with the original to ensure efficiency does not come at the expense of its capabilities.

03EXECUTIONTurn efficiency into real performance.

We adapt the model to the hardware and inference engine to reduce latency, increase speed and broaden where it can run.

06 / WHY IT MATTERS

Sovereignty begins where dependence ends.

Using advanced intelligence should not mean giving up your data, your operations or your ability to decide.

We want advanced AI to be usable without dependence on a single provider, model or infrastructure.