Value first
Every AI use case is anchored to a measurable business outcome before any model is selected or any architecture drawn. If we cannot articulate the value, we challenge whether it should be built.
AI & Data Consulting · Microsoft Azure + Databricks
Why before how.
Datuza is a specialist AI and data consultancy. We take enterprise AI from ambition to production on Azure and Databricks — built on data engineered as the lifeblood every model, agent and decision depends on. And before anything is built, we question what the AI is for, so every decision traces back to business value.
19+ yrs enterprise data leadership
UK · India · UAE delivery entities
Azure AI FoundryDatabricksAzure
Unity CatalogPower BIPurviewCollibra
Our approach
Why do so many AI initiatives never leave the lab?
Because AI is only as alive as the data that feeds it. Models get chosen before anyone has engineered the governed, trusted data they depend on — and how gets decided before why. We work the other way around: outcome first, data as the lifeblood, AI as the engine.
Data is the lifeblood
No model outperforms the data it is fed. We engineer the circulatory system first — governed, lineage-traced, quality-assured data flowing through the platform — so AI runs on substance, not samples.
Transfer, not dependency
We build your team's capability alongside the platform. Knowledge transfer is a deliverable in every engagement — success is when you need us less.
Services
01 · AI — the engine
02 · Data — the lifeblood
03 · Trust
04 · Insight
05 · Direction
What should AI make possible for your business?
AI leads; everything else exists to keep it alive. Each capability begins with the outcome it must enable, and is delivered hands-on by senior practitioners — not handed down to a bench.
AI & Agentic Solutions
AI in production, not in perpetual proof-of-concept.
Azure AI Foundry and agent frameworks, agentic workflow design, LLM document intelligence and extraction, retrieval and vector search, evaluation, guardrails and human-in-the-loop design.
Data Platform Architecture & Engineering
The circulatory system that keeps your AI alive — governed data, engineered to flow.
Azure & Databricks lakehouse design, medallion architecture, canonical enterprise data models, ingestion frameworks, CI/CD and DevOps for data.
Data Governance & Cataloguing
Data your AI — and your people — can find, trust and use.
Unity Catalog, Microsoft Purview and Collibra; metadata and lineage, data quality frameworks, stewardship operating models, business glossaries.
BI & Analytics
Decisions made on numbers everyone agrees on.
Power BI at enterprise scale, conformed semantic models, executive and operational reporting, self-service enablement and adoption.
AI & Data Strategy and Centre of Excellence
A roadmap the board can fund and the team can actually build.
AI operating models, capability and resourcing plans, phased value cases, platform and vendor selection, programme governance.
Selected work
What does this look like in practice?
Broadcast & media services · Multi-year engagement
A Data, AI & Reporting Centre of Excellence for a global broadcast services group
Datuza leads the architecture and delivery of a multi-year Data, AI & Reporting Centre of Excellence on Microsoft Azure and Databricks for a global broadcast and media services organisation. The AI pillar spans agentic solutions in production — including LLM document-intelligence pipelines — fed by the lifeblood beneath: a canonical enterprise data model unifying ERP, CRM and finance sources across regions, governed lakehouse engineering with full lineage, and executive reporting the business trusts.
Applied AI
BI & Reporting
Operations Data
The firm
Who will you actually work with?
A deliberately small, senior team. The practitioners who architect your platform are the practitioners who build it — no hand-off to a delivery bench, no rotating faces. What we bring is concentrated, not distributed:
Architecture-led delivery
Two decades of enterprise data and architecture practice, with a delivery record that includes multi-year programmes — among them a CHF 9.4M enterprise data governance programme for a global industrial group.
Azure & Databricks depth
Deep, current specialisation across the Azure and Databricks estate — lakehouse, Unity Catalog, AI Foundry — kept sharp by continuous production delivery, not certification alone.
Governance heritage
Rare practitioner depth in enterprise data governance across Collibra, Purview and Unity Catalog — from stewardship operating models to full catalogue migrations.
AI in production
Agentic AI systems running in production today — document intelligence, retrieval, evaluation and guardrails — backed by the engineering that keeps them reliable.
More about how we operate on the About page.
Careers
Why join a small firm?
Because ownership is not something you wait years for here. Datuza is deliberately small and senior — every engineer works directly with clients on enterprise-scale platforms from the first week.
- Senior work from day one. Enterprise Azure and Databricks platforms, not maintenance tickets.
- Direct client exposure. You present your own work to the people who use it.
- A modern stack, for real. Lakehouse, Unity Catalog, AI Foundry, agentic AI — in production.
- No bench. Everyone builds. Utilisation anxiety is not part of the culture.
- View open roles →
Contact
What is your AI for?
If that question is harder to answer than it should be, we should talk. A first conversation with Datuza is a working session, not a sales call.
hello@datuza.com