Predict. Design. Optimize.

ConcreteAI

Reduce concrete cost and embodied carbon by artificial intelligence
ConcreteAI

Predict. Design. Optimize.

Reduce concrete cost and embodied carbon by artificial intelligence



Prediction of concrete performance
Prediction of concrete performance

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.

Reducing concrete cost

ConcreteAI automatically refines an existing reference concrete formulation to minimize its cost while maintaining constant strength.

Reducing the cost of concrete mixes
Prescription of optimal mix designs
Reducing concrete embodied CO2

ConcreteAI optimizes existing concrete formulations to minimize their embodied CO2 while maintaining constant strength and cost.

Prescription of optimal mix designs

ConcreteAI enables the automated prescription of optimal concrete mix designs featuring minimum cost while meeting tailored performance targets and satisfying tunable mix constraints.

Prescription of optimal mix designs

ConcreteAI uses the power of
big data and machine learning
to leapfrog concrete design.

Learn more

Learn more about ConcreteAI





General presentation



Platform overview

Team

Meet the team



Mathieu Bauchy

MATHIEU BAUCHY

Associate Professor

Mathieu Bauchy is an expert in machine learning and materials modeling.

Gaurav Sant

GAURAV SANT

Professor

Gaurav Sant is an expert in cement and concrete science.

Contact the team for more information on ConcreteAI

Contact us for pricing information, scheduling a demo, or planing a pilot.