FinSenseFINSENSEAFRICA

Sovereign AI Hub

AI that stays in the country.

Private AI hosted in-country, on-premise or in sovereign cloud, and tuned on your data. Customer data stays inside the jurisdiction.

Take the AI readiness testDiscuss your team's needs

For banks and public bodies that cannot send data to a foreign public model

In-country hostingOpen-weight modelsGuardrails & audit
From

Public AI blocked by data residency, or used without sanction

To

Private AI inside your walls, on your terms

What we offer

How we work
  1. Assess data residency and regulatory needs
  2. Choose the model and the hosting that fit them
  3. Deploy in your data centre or a sovereign cloud
01

In-Country Hosting

Open-weight models in your data centre or sovereign cloud.

The challenge

The Data Protection Act keeps customer data away from foreign public models, so teams go without AI or use tools nobody approved.

What you receive
  • Private AI environment, in-country by design
  • Architecture aligned to the Data Protection Act and CBK guidance
  • Capacity sized to your use cases
The outcome

AI your teams can use without data leaving the jurisdiction.

  1. 01 / 03

    In-Country Hosting

    Open-weight models in your data centre or sovereign cloud.

    The challenge

    The Data Protection Act keeps customer data away from foreign public models, so teams go without AI or use tools nobody approved.

    How we work
    1. Assess data residency and regulatory needs
    2. Choose the model and the hosting that fit them
    3. Deploy in your data centre or a sovereign cloud
    What you receive
    • Private AI environment, in-country by design
    • Architecture aligned to the Data Protection Act and CBK guidance
    • Capacity sized to your use cases
    The outcome

    AI your teams can use without data leaving the jurisdiction.

  2. 02 / 03

    Tuned on Your Knowledge

    Answers that reflect your products, policies and language.

    The challenge

    A general model does not know your products, your policies or how your customers speak.

    How we work
    1. Gather the documents and data the model may use
    2. Fine-tune and connect retrieval over internal knowledge
    3. Test answers against real questions before go-live
    What you receive
    • Models tuned on your data
    • Retrieval over your documents, with sources cited
    • An evaluation set your team can rerun
    The outcome

    Answers grounded in your own knowledge, with the source one click away.

  3. 03 / 03

    Guardrails & Governance

    Every answer filtered, permitted and logged.

    The challenge

    Regulators and risk committees need to know what the model may decide, who can use it and what it said.

    How we work
    1. Agree what the model may and may not decide
    2. Set access controls, filtering and human oversight
    3. Log every answer for audit
    What you receive
    • Guardrails and access controls
    • Audit logging on every answer
    • Model-risk controls agreed before go-live
    The outcome

    Intelligence you own: your data, your models, your rules.

How an engagement runs

From governance to production, one use case at a time.

  1. Governance & scoping

    Where data lives and what the model may decide.

  2. Architecture & hosting

    Choose the model and host it in-country.

  3. Tune, retrieve, guardrail

    Tune on your data, connect your knowledge, add safety controls.

  4. Pilot, measure, scale

    Prove one use case, then scale.

Trust & compliance

Your data is processed in-country, by a registered processor.

FinSense Africa is registered with the ODPC as a data controller and processor, and your data is covered by a data-processing agreement.

  • ODPC-registered controller and processor
  • Data Protection Act, 2019
  • In-country hosting
  • Audit logging on every answer
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Where this fits.

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See it on one use case before you scale.

Not sure where to start? Take the AI readiness check.

Take the AI readiness testDiscuss your team's needs