Eight practices, one accountable team
No offshore handover. The engineer who designs your model layer is the one who sits in your sprint review.
Pick the practice closest to your problem
Data strategy
Audit of what you have, a target operating model, and a roadmap with a business case your CFO will actually read.
Read moreData engineering
Warehouse migration, ELT pipelines, dbt modelling and streaming, built to be read and changed by your own engineers.
Read moreAnalytics & BI
A semantic layer where every metric has one definition, one owner and one place it is calculated.
Read moreMachine learning
Demand forecasting, churn and credit scoring, anomaly detection and predictive maintenance, scoped one decision at a time.
Read moreGenerative AI
Retrieval over your own documents, support and sales copilots, document extraction, with evaluation and guardrails from day one.
Read moreMLOps & platform
CI/CD for models, feature store, drift monitoring and cost control on the platform you already run.
Read moreGovernance & AI Act
Catalogue, lineage, data quality and ownership, plus risk tiering and model cards that satisfy an auditor.
Read moreTraining & enablement
Workshops, a centre of excellence, and coaching for the analysts who take the work over.
Read moreTell us which number you cannot trust
Send one paragraph about the report that always starts an argument. A data lead, not a salesperson, replies within one business day.

