Modern data pipelines and an AI-ready foundation
Reliable pipelines, one governed set of numbers, and a semantic layer AI can answer from.
Good analytics and good AI both rest on the same thing: clean, governed, well-modelled data that arrives on time. When that foundation is missing, every report becomes an argument about whose figure is right.
What we deliver in data engineering
Databricks done right: lakehouse, pipelines and AI
For data teams standardising on Databricks who want a governed lakehouse and reliable pipelines (and, increasingly, trustworthy AI on top).
Learn moreSnowflake consultingA Snowflake platform your whole business can rely on
For organisations building (or fixing) a Snowflake data platform who want reliable pipelines, controlled cost, and one source of truth.
Learn moreAI-ready data & semantic layerMake your data ready for AI to answer from
For organisations that want to 'talk to their data' with AI and need the governed foundation that makes the answers trustworthy.
Learn moreRelated work
Large government department
We piloted Databricks Genie Space with a large government department and built the semantic layer needed for reliable conversational analytics.
Fewer ad-hoc analysis requests; analysts freed for higher-value work
Read the case study
Department of Transport and Main Roads (Queensland)
We developed an automated monitoring tool on Snowflake and Tableau to identify South East Queensland road corridors needing intervention and prioritise investment.
Defensible, automated corridor prioritisation
Read the case study
Komatsu Australia
We transitioned Komatsu Australia from a cumbersome manual process to automated financial reporting in Power BI, integrating data from SAP and Palantir Foundry.
50+ staff hours saved every month
Read the case study
Ready to get more from data engineering?
Reliable pipelines, one governed set of numbers, and a semantic layer AI can answer from.