Cut industrial emissions and fuel costs with AI-driven, self-learning process control for your plant.

For energy and sustainability professionals in heavy industry, Carbon Re provides a direct path to decarbonization that also improves the bottom line. Its AI platform, Gigaton, moves beyond passive monitoring to take active, self-learning control of complex industrial processes. The proof is in the numbers: a case study with Heidelberg Materials demonstrates a 4% reduction in the fuel cost index, driven by a 2.2% cut in specific heat consumption. This isn't just a theoretical model; it's a deployed system delivering tangible savings. Crucially, the platform also delivers on sustainability mandates with a 2% reduction in fuel-derived carbon emissions. Carbon Re's approach is not a remote software install but a hands-on partnership. As noted by an operations director at Mannok, their team works on-site in the control room, ensuring operator trust and buy-in, which is critical for success in traditional industrial settings. This combination of frontier AI, quantifiable results, and practical, on-the-ground implementation makes it a compelling solution for driving industrial efficiency and resilience.