Data & Intelligence
Ask why an AI programme stalled and the answer is usually upstream. Nobody agrees what a customer is, no one owns the field, and nothing records where the number came from. That is the work.
Data contracts
Explicit, versioned agreements between producers and consumers, enforced in the pipeline rather than in a wiki.
Semantic layers
One definition of the entities the business argues about, so a model and a dashboard cannot disagree.
Streaming and batch pipelines
Built for replay and backfill, because correctness eventually requires reprocessing history.
Decision systems
Models wired into the workflow that acts on them, with the feedback loop closed and measured.
Two reports disagree and both are defensible
Lineage is reconstructed by asking a long-serving colleague
Models are trained on extracts nobody can reproduce
Real-time means a nightly batch
- Lakehouse architecture
- Streaming pipelines
- Semantic layers
- Data contracts
- ML engineering
- Decision systems
AI is only as good as the data beneath it. We build the contracts, lineage, and semantics that make enterprise data usable by machines.
Talk to us about data & intelligence.
Tell us what you have today, what you want instead, and any deadline. A senior engineer will reply within two working days.