Alcemy enables cement and concrete producers to cut costs and carbon emissions.
Producers in the 1T$ concrete industry are forced to make products excessively strong. This is due to limestone fluctuations driving strength up and down, with the only way to find out being a test that takes 28 days.
Alcemy’s patented AI determines concrete strength within minutes, and suggests which wheels to turn to get it back on target, increasing cement plants’ profits by 5% and concrete batchers’ by 50%.
The prototype is live in production in Leo’s home plant, and enabled Alcemy to select two more producers, including one of the largest in the world, to join its paid early adopter program.
Leopold Spenner has spent his life working with cement and concrete, growing up next to the plant his family has owned for 4 generations. His MSc in Industrial Engineering from KIT, research at the German Cement Association and two building material projects at BCG allowed him to experience the industry from all angles.
Dr. Robert Meyer holds a MSc & PhD in Machine Learning from TU Berlin. He co-founded and scaled the team that built the entire dynamic pricing pipeline for FlixBus from scratch in 2 years, suggesting prices for >100,000 tickets a day. His open source projects like pypet make him well known in the Python community.