Converge has announced the launch of Mix AI. This new tool uses predictive AI to assist contractors in reducing concrete overdesign and embodied carbon emissions, promoting low-carbon construction practices.
Mix AI complements ConcreteDNA, Converge's AI-based concrete monitoring and data management platform. It analyzes concrete data to offer AI-based forecasts of concrete strength, temperature and carbon footprint, considering historical and future environmental conditions.
"There is an unprecedented opportunity to leverage AI in the building material sector, to rapidly accelerate the decarbonization of one of the hardest-to-abate sectors. AI's impact on climate and carbon was a key discussion topic at the UN SDG summit earlier this year, and a potential solution to many of the challenges being discussed at COP28 this week. Through Mix AI, Converge is using cutting-edge AI techniques to deliver a real-world, highly-scalable digital solution to decarbonize the concrete sector," said Raphael Scheps, co-founder and CEO of Converge.
Cement, used for concrete's strength, accounts for about 8% of global carbon dioxide emissions. Mix AI enables contractors to choose concrete mixes with less cement, meeting performance specs while cutting down embodied carbon emissions.
Converge's collaboration with Stanley Black and Decker in North America supports the impact of Mix AI.
"Mix AI will empower our customers to choose carbon-efficient mixes and deliver concrete programs on schedule with excellence. It's a win for our customers, a win for us, and a win for the environment," said Brad Roberts, president of construction technology at Stanley Black and Decker.
"Mix AI is a transformative product for concrete. It balances construction demands with sustainability efforts, offering an innovative solution to address embodied carbon, while simultaneously reducing costs and accelerating project timelines," said Mike Bishop, investment director, climate investment and Converge board member.
