Concrete Copilot

Founded by Mathieu Bauchy in 2021

Design and adjust concrete mixes to lower raw material costs and carbon emissions

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Concrete Copilot to evaluate millions of data points and create cost-effective concrete mix designs in seconds. The system combines your historical production data with machine learning models to forecast concrete strength and performance accurately. Producers can test alternative raw materials, cut binder costs, and reduce embodied carbon without sacrificing project specifications. By assisting batch plant engineers and technical managers with predictive analytics, it simplifies decision-making across everyday concrete manufacturing operations.

What Concrete Copilot does

Predict compressive strength for candidate mix designsCalculate raw material cost savings per cubic yardSimulate carbon reduction percentages for concrete mixesAdjust cement and binder ratios based on performance dataGenerate alternative concrete formulations under custom constraintsAnalyze historical batch plant testing recordsPredicts concrete performance in real time using historical batch dataCalculates mix formulations that minimize raw material expensesGenerates low-carbon concrete recipe alternatives automaticallyProcesses millions of operational concrete data points in secondsProvides cost-per-yard comparisons across alternative ingredient recipesCombines automated data models with engineer judgment and custom constraints