Enriching
Business
We turn data into decisions that drive growth. Everything from data science and data engineering through to governance and compliance. Getting a grip on your data is the first step to unlocking the full potential of AI, and it is the step most programmes skip.
There is no AI programme. There is a data programme with AI at the end of it.
Pilots stall for unglamorous reasons: nobody agrees what a customer is, the lineage cannot be traced, the permissions model does not survive retrieval. We fix that first, and we make the fix durable by treating datasets as products with owners, contracts and service levels.
- 01
Get a grip
Inventory, lineage, ownership and quality baselines. What you have, where it came from, who is accountable.
- 02
Engineer the flow
Lakehouse, open table formats, tested transformations and pipelines that alert before the business notices.
- 03
Govern it
Catalogue, classification, retention and access. Governance that answers questions rather than blocking them.
- 04
Decide with it
Forecasting, segmentation, optimisation and retrieval-backed AI, evaluated against a decision, not a demo.
Science, engineering, governance, in one team
- →AI readiness assessment. An honest view of whether your data can support the use case you have in mind, and what it takes if it cannot.
- →Platform build. Lakehouse and warehouse builds on Databricks, Snowflake or Microsoft Fabric, with Iceberg or Delta underneath so the data outlives the tool.
- →Data products and contracts. Owned datasets with schemas, tests and service levels, so consumers stop building private copies.
- →Data science and ML. Forecasting, propensity, pricing and optimisation, deployed with monitoring for drift and a route back to retraining.
- →Governance and compliance. GDPR, UAE PDPL and EU AI Act obligations turned into controls that run, with model and dataset documentation kept current.