Alcemy, founded in 2018, applies machine learning and control engineering to the cement and concrete industries. Its predictive quality control software runs continuously in plants around the world, helping manufacturers produce low-carbon cement and concrete without compromising on quality or cost. The technology simplifies complex mixture handling and reduces workload in laboratories and control rooms.
The company's core technical domains include machine learning, control engineering, and predictive quality control. Its software platform is designed to lower production expenses while simultaneously decreasing the carbon footprint of cement and concrete manufacturing - industries responsible for a significant share of global CO₂ emissions.
Alcemy reports that its technology has helped save over 100,000 tons of CO₂ emissions annually. The company has set a target of achieving 100 million tons per year in emissions savings by 2030, reflecting the scale of the decarbonisation challenge in heavy industry.
