The full lifecycle — from business requirement to production-grade dataset.

The data most AI initiatives need doesn't exist yet in a usable form. We build trusted, well-governed datasets designed from the outset for AI and advanced analytics: clean, historised, lineage-tracked, and access-controlled. The result is data your models and your executives can both rely on.

We design and build modern cloud data platforms on Azure and Databricks, using medallion architecture (Bronze/Silver/Gold) and Delta Lake for performance and reliability. We implement robust patterns — including SCD Type 2 historisation — so your data stays accurate as source systems evolve.

The hardest problem in enterprise data is rarely technical — it's getting Finance, Actuarial, Claims, and Operations to agree on one definition of the truth. We run the stakeholder alignment, resolve competing definitions, and deliver a reconciled, trusted dataset that becomes the organisation's agreed source of record.

We modernise legacy reporting estates — migrating from SAS, SSRS, and Excel to Power BI and self-service analytics — while improving quality, cutting manual effort, and standardising delivery. We've migrated estates of 250+ reporting assets and automated away up to 75% of manual reporting work.

Sometimes you don't need more hands — you need someone senior to own the outcome. We provide experienced delivery managers, product owners, and practice leads who run cross-functional teams in Scaled Agile environments and land complex programs that have stalled.