Los Angeles – Concrete-AI announced it has raised $2 million in a seed financing round with participation by the Grantham Foundation for the Protection of the Environment. This financing will accelerate the rollout of Concrete-AI’s data science platform that uses artificial intelligence (AI) and machine learning (ML) to optimize supply chains and materials selection to bring new efficiencies to the design, proportioning and production of concrete mixtures.
Concrete-AI’s platform delivers reductions in the cost and embodied carbon of ready mixed and precast concrete used in construction, without any changes in their method of production, the materials used or anything else.
During pre-commercial piloting with several of the largest cement, concrete and chemical admixtures manufacturers, Concrete-AI’s platform has been shown to reduce the material costs and embodied carbon footprint of ready-mixed concrete (RMC) by up to 10%, and up to 50%, respectively. It achieves these reductions by applying AI/ML-enabled concrete optimization to predict the performance of concrete as a function of its mixture proportions, and the characteristics of coarse and fine aggregates, supplementary cementitious materials (SCMs), and the chemical admixture type and dosage, etc. The result is an optimized, cost-effective concrete that fulfills all engineering performance characteristics such as slump, set time and strength, while utilizing locally available raw materials to ensure safety, longevity and code-compliance.