The problem
Carbon-intensive organisations have made bold net-zero commitments, but turning those pledges into action is where most stall. The data sits in scattered systems, the biggest savings are buried in operational detail, and few teams have the time or specialist tools to find out exactly where their emissions come from and what to do first.
What we did
CarbonBridge pairs guided analysis with machine learning on real-time energy data to surface the decarbonisation opportunities that matter most for a given operation. Instead of a static audit, it continuously reads how an organisation actually uses energy and translates that into concrete, prioritised, optimised steps, bridging the gap between a net-zero target and the work required to reach it.
The outcome
A clear, data-driven path to net zero for heavy industry, turning broad commitments into specific actions ranked by impact.