Reporting, data platforms and pipelines that turn raw data into decisions.
We build the data layer growing businesses run on: pipelines that move and clean your data, warehouses and lakehouses that hold it, and dashboards that finally answer the questions your team keeps asking. From a single source of truth to self-serve analytics, built on tools you own and can trust.
Dashboards and self-serve reporting your whole team trusts: metrics defined once, consistent everywhere, and refreshed automatically.
Warehouses and lakehouses that give you one source of truth, modelled, documented and ready for analytics or AI.
Reliable pipelines that move data from every source into your platform, batch or streaming, using the integrations you already run.
We map your sources, current reporting and the questions you can't answer today, then design the simplest platform that fixes it.
Connectors and orchestrated pipelines that pull every source into one place, reliably, on schedule, with alerting when something breaks.
A warehouse or lakehouse set up with dimensional models in dbt, tested and documented so analytics rest on solid ground.
A governed metrics layer and dashboards in your BI tool of choice, so every team reads the same numbers the same way.
Tests, freshness checks, lineage and role-based access so you can trust the data and know exactly where it came from.
Documentation, training and self-serve patterns so your team can build their own reports without waiting on engineering.
Every engagement runs through these five stages. You always know what we're doing this week, and what ships next.
Inventory your data sources, current reports and the decisions you want data to drive. Output: a target architecture and quick wins.
Design the warehouse schema, metrics layer and pipeline plan, agreeing definitions for the metrics that matter most.
Stand up the platform, wire pipelines from each source, and build tested dbt models in a staging environment.
Dashboards and self-serve reporting on top of the modelled data, validated against numbers your team already trusts.
Monitoring, data-quality tests and cost reviews, plus new metrics and sources added as your questions evolve.
A first warehouse with core pipelines and dashboards ships in 4–8 weeks. Broader platforms with many sources, streaming or governance run 8–16 weeks, delivered in milestones.
