Where we come in.
Every model and every decision depends on it. This is where we usually start.
Data spread across systems.
Sales, finance and operations each keep their own version. We bring them into one platform with one meaning.
One version of the numbers.
Finance and sales report a different revenue for the same month. We define each figure once, test it, and make every report read from the same source.
An AI plan waiting for data.
The use case is clear and the data is not ready yet. We build the pipelines and features the models need.
A move to a modern platform.
The data still lives in an ageing on-premise warehouse, or you are changing cloud. We move it step by step, with the full history and the reports running throughout.
What we build.
- Data engineering
- Batch and streaming pipelines that are tested, monitored and safe to re-run.
- Data platforms
- Lakehouse and warehouse platforms sized for your volumes, your teams and your budget.
- Data modelling
- Models and semantic layers that give every team the same definitions.
- Quality and observability
- Tests, contracts and alerts that catch problems before the dashboard does.
- Governance and lineage
- Access, ownership and lineage set up so that an audit is a report, not a project.
- Analytics engineering
- Dashboards and self-service built on the platform, so every number traces back to its source.
- ML-ready data
- Feature pipelines and training sets, versioned and reproducible.
The whole team, or the missing piece.
Senior people only. A shortlist within one to three weeks, remote first and on site whenever you need us. Everything we build is yours: code, models and documentation.
End to end
A complete senior team builds the whole thing with you: architecture, build, rollout and handover.
Forward deployed
We work inside your tools and your codebase, on site when it helps and remote the rest of the time.
The missing piece
One or two specialists join your team exactly where the gap is, and work in your rituals from day one.
The fuel for AI.
A good AI project starts as a data project. The cleaner the pipelines underneath, the shorter the road from pilot to production.