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Service / Data / 05
We build the data layer your AI roadmap actually needs—trusted, observable, and ready to feed real-time decisions. From lakehouse to feature store, designed for compliance and cost.
01 — Service Overview
The data exists. The dashboards exist. The reports exist. What's missing is a platform that turns those signals into decisions inside production workflows—safely, repeatably, and at low unit cost.
We modernise data foundations with a sharp eye on what they'll be asked to do next: feed AI agents, real-time decisioning, regulator-grade lineage, and personalisation at the edge.
<50ms
Decision latency on real-time pipelines
−38%
Median lakehouse cost after our optimisation
100%
Of pipelines ship with data contracts
02 — Challenges We Solve
Every team built its own pipeline. Five copies of the truth. None of them quite right.
Without lineage, contracts and quality, no one fully trusts the numbers—or the AI built on top.
Daily batches in a real-time business. The platform can't feed the workflows that matter.
Promising AI use cases stall because the data foundation isn't ready to safely feed them.
03 — What We Deliver
Tangible deliverables, not motherhood statements. Pick the ones that matter, ignore the rest.
Production-grade Databricks, Snowflake or BigQuery foundations with clear ownership.
Real-time ingestion via Kafka, Kinesis, Debezium and managed equivalents.
Producer-owned contracts, automated tests, lineage and observability.
Reusable feature stores and CDPs feeding AI and customer-facing decisions.
GDPR, HIPAA, PCI—baked into the architecture, not bolted on.
Cost observability and tuning that pays for the program, sometimes twice.
04 — How We Work
01
Senior partners lead a focused discovery sprint to anchor the work in your value case.
02
A target architecture pressure-tested against your data, regulators and operating model.
03
Lean senior squads ship to production in short, instrumented increments tied to outcomes.
04
We run alongside your team, then hand over a self-sufficient internal capability.
05 — Use Cases
Retail CDP Build
A streaming CDP with sub-second activation across email, app, web and store—built on a lakehouse foundation.
217M
Profiles unified
<800ms
Activation latency
+22%
Personalisation lift
06 — Tooling we ship with
Lakehouse
Streaming
Orchestration
Governance
07 — Why partner with us
No pitch teams, no graduates running production. The people you meet are the people who deliver.
We close the gap between the boardroom recommendation and the system in production.
We put a meaningful share of fees at risk against the value case we sign together.
Our success criteria includes leaving a self-sufficient internal team behind.
08 — Keep exploring
