SERVICE 04

Data & AI

Data & AI

From data governance to models that run inside the organisation — not in someone else’s cloud.

What this pillar is

Most AI projects in sovereign entities stall on one question: where is the data processed? We build on the opposite assumption — that processing happens inside the organisation. That forces different architectural choices from day one, and it is what we do in our own products: the AIN assistant runs on a local language model with no external connection.

What this pillar covers

  • Data governance

    Policies, standards and classification, establishing and running data offices, and tying governance to daily operations.

  • Analytics and business intelligence

    Data models, dashboards and operational reporting built on a single source of truth.

  • Product and software development

    Building operational systems and integrations, with the same team that developed our own products.

  • On-premises AI solutions

    Models and assistants that run inside your infrastructure without sending data to external APIs.

Frequently asked

Can AI models run without a cloud?
Yes — and it is what we do in the AIN product: a language model installed locally inside the organisation, with multi-turn conversation memory and no dependency on any external API.

We start by understanding your environment — not with a deck

One session with an engineer from the team that would run the service: we read what you have as it is, and say what can be delivered and when — and what cannot.