Concrete.ai has officially launched its patented AI platform, Concrete Copilot, designed to revolutionize the optimization of concrete mix designs for efficiency, cost savings, and carbon reduction. The platform, powered by GenAI, allows concrete producers to swiftly identify the most optimal mix recipe for any application, ultimately saving millions of dollars and cutting carbon emissions by up to 30% in just one month.
In the complex landscape of modern supply chains, fluctuating material types and costs, and the abundance of intricate performance data, mix optimization has become a critical factor in the success of concrete producers. With an increasing number of regulations emphasizing low-embodied carbon materials in construction projects, the urgency to reduce carbon footprints, especially in concrete production responsible for 9% of global emissions, is more pronounced.
Concrete Copilot tackles the challenges faced by producers, offering a solution that not only identifies the right concrete mixes meeting requirements but also facilitates their swift integration into production without disrupting operations or compromising performance and cost. Through extensive field testing with producers across the United States, the platform optimized mix designs utilized in over 2,000,000 cubic yards of concrete, equivalent to filling 681 Olympic-size swimming pools. The average material savings achieved were $5.04 per cubic yard, accompanied by an average carbon reduction of 30%, with noticeable results within just one month of activating the platform.
Alex Hall, CEO of Concrete.ai, emphasized the company's commitment to addressing the economic and environmental challenges faced by concrete producers. Concrete Copilot seamlessly integrates with a producer's current and historical data, allowing them to select optimization criteria based on specific objectives. The platform rapidly generates millions of mix designs in seconds, presenting the optimal one to the user for approval or modification, effectively streamlining the design process from months to minutes.
Concrete Copilot leverages the materials within a producer's existing supply chain. In response to shifts in material availability or cost, producers can quickly generate new mix designs. The platform also facilitates the swift evaluation of emerging sustainable materials, enabling their rapid incorporation into production for an immediate environmental impact.
The ultimate goal of Concrete.ai is to contribute to a substantial reduction in the annual global carbon footprint of concrete, aiming for approximately 500 million tons by optimizing concrete mixes with materials already present in supply chains. Testimonials from industry professionals, such as Chris Rapp, Vice President and General Manager of VCNA Prairie Materials, highlight the remarkable efficiency of integrating Concrete Copilot into existing software, streamlining the mix design process, maximizing cost savings, and significantly reducing both cost and carbon footprint.