Data & Cloud Platforms
Almost every stalled AI programme is really a stalled data programme. Before a model can be useful, someone has to decide what a customer is, which system is authoritative, and who is allowed to see what. That work is unglamorous and it is the whole game.
Three departments report three different revenue numbers, each correct by its own definition. Until that is settled, every dashboard is a negotiation.
A four-week assessment produces the architecture and a costed roadmap. Foundation builds usually run three to five months before the first domain goes live.
Data & Cloud Platforms
Lakehouse architecture
Bronze, silver and gold layers on Databricks, Fabric or an open Delta stack — with schema contracts that fail the pipeline instead of quietly poisoning the warehouse.
Pipelines & streaming
Batch and event-driven ingestion from ERP, core banking, SCADA and SaaS sources, with replay, idempotency and lineage you can point an auditor at.
Governance & access
A catalogue, owners with names, classification, row and column level security, and retention rules that actually run rather than sitting in a policy document.
Cloud foundation & FinOps
Landing zones, network isolation, infrastructure as code, and cost attribution per workload — so the monthly bill is explainable line by line.
What remains with you after we leave
Every item below is yours, in your repository and your cloud account, with no runtime licence and no lock to us.
- A documented target architecture with the trade-offs written down
- Governed semantic layer with agreed metric definitions
- Ingestion pipelines with monitoring and replay
- Data catalogue with named owners per domain
- Cost baseline and a tuning backlog
Questions we hear a lot
Whichever you already run well. The platform matters far less than the governance on top of it. We work fluently in both and will not sell you a migration you do not need.
You may also need
Tell us what you are trying to build.
Send a short note and one of our engineers — not a salesperson — will reply within one business day.