An IoT-driven process intelligence and predictive maintenance platform — connecting the operational process to the data that predicts where it will break.
Plant downtime was being managed reactively, and OEE was a monthly retrospective — by the time the team saw the dip it was already last quarter's problem.
How we structured the work, end to end.
From source to insight, in one governed flow.
Other engagements with a similar shape.
A Microsoft Fabric platform with a clean medallion architecture and governed, refresh-optimised semantic models the business trusts.
An end-to-end biogas plant design engineered for ~40% lower energy use and ~60% lower water consumption than the baseline.
A staged migration onto a governed Databricks Lakehouse — operational reporting never went dark.
Start with a conversation. We'll map the process, pressure-test the goal, and come back with a plan.
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