Reduce concrete cost and embodied carbon by artificial intelligence
ConcreteAI predicts the performance of concrete as a function of the mixture proportion, type of coarse and fine aggregate, supplementary cementitious material (SCM), chemical admixture dosage, etc.
Predicted properties include strength development (1-to-90 days), lab curves, shrinkage, slump, set time, etc.
ConcreteAI automatically refines an existing reference concrete formulation to minimize its cost while maintaining constant strength.
ConcreteAI optimizes existing concrete formulations to minimize their embodied CO2 while maintaining constant strength and cost.
ConcreteAI enables the automated prescription of optimal concrete mix designs featuring minimum cost while meeting tailored performance targets and satisfying tunable mix constraints.
Learn more about ConcreteAI
Meet the team
Alex Hall is a multifaceted global executive who has a deep experience in the concrete and construction industry with a focus on process efficiency and profitability, sustainability, and scalability for growth.
Mathieu Bauchy is an expert in machine learning and materials modeling.
Gaurav Sant is an expert in cement and concrete science.