02 — Data & AI

Turn your data into decisions.

We build governed data platforms, analytics and AI that run in production, well past the proof of concept.

What we deliver

Data & AI services

Data platforms

Lakehouse and warehouse platforms on Microsoft Fabric and Databricks, with ingestion, modelling and governance built in.

Analytics and reporting

Power BI dashboards and semantic models that give every team the same numbers.

Generative AI

Assistants and copilots built on Azure OpenAI, grounded in your documents and deployed inside your network boundary.

Machine learning

Forecasting, classification and optimisation models built, deployed and monitored with Azure Machine Learning.

Data governance

Cataloguing, lineage, classification and access policies with Microsoft Purview.

AI readiness

A practical review of your data, use cases and risks, so you invest in AI where it will pay back.

Technologies

What we build with.

  • Microsoft Fabric
  • Azure Databricks
  • Power BI
  • Azure OpenAI
  • Azure AI Search
  • Azure Machine Learning
  • Microsoft Purview
  • Azure Data Factory

How we engage

From assessment to operations.

  1. Assess

    We review your current estate, costs, risks and goals.

    What you get: A written assessment and a prioritised roadmap.

  2. Design

    Architects design the target platform: landing zone, identity, network, data and security.

    What you get: Architecture decisions documented before anything is built.

  3. Build

    Engineers deliver in short increments with infrastructure as code and automated tests.

    What you get: Working software you can see at the end of every sprint.

  4. Run

    We operate, monitor and optimise the platform, or hand it over to your team.

    What you get: Runbooks, training and support with agreed response times.

Questions

What clients ask us.

Is our data used to train the AI models?

No. With Azure OpenAI, your prompts and data are not used to train the underlying models. We deploy with private networking and your own access controls.

Fabric or Databricks?

It depends on your team, workloads and existing licences. Fabric suits Microsoft-centric organisations that want one managed platform. Databricks suits heavy engineering and data science. Many estates use both.

How do we start with AI?

With one use case that has clear value and data you already hold. We run a short readiness review, then build a first production release with a scope you can measure.

Can you work with our existing reports?

Yes. We migrate and rationalise existing reports and data models in stages instead of rebuilding everything at once.

Related services

01 — Cloud

Cloud & infrastructure

Design, migrate and run secure cloud platforms that scale with your business.

  • Azure & AWS landing zones
  • Migration and modernisation
  • FinOps and cost control
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03 — Security

Cybersecurity

Protect people, data and operations across every cloud and device.

  • Zero-trust identity
  • Threat detection and response
  • UAE IA & ISO 27001 readiness
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05 — Integration

Integration

Connect ERP, CRM and line-of-business systems so data moves once and moves reliably.

  • ERP and CRM integration
  • API management
  • Event-driven messaging
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