Concrete-AI raises $2 million to commercialize a data science platform that reduces the cost and embodied carbon footprint of concrete

Screenshot of the Concrete-AI platform

Leveraging artificial intelligence (AI) and machine learning (ML), Concrete-AI’s platform designs and proportions the optimal amount of concrete for any construction application, reducing costs and embodied carbon.

Leveraging artificial intelligence (AI) and machine learning (ML), Concrete-AI’s platform designs and proportions the optimal amount of concrete for any construction application, reducing costs and embodied carbon.

LOS ANGELES, Jan. 13, 2022 (GLOBE NEWSWIRE) — Concrete-AI today announced that it has raised $2 million in a seed funding round with participation from the Grantham Foundation for the Protection of the Environment, a major family office and other well-known investors. This funding will accelerate the deployment of Concrete-AI’s pioneering data science platform that uses artificial intelligence (AI) and machine learning (ML) to optimize supply chains and material selection to bring new efficiencies to the design, proportioning and production of concrete mixes. Concrete-AI’s platform offers unparalleled reductions in the cost and embodied carbon of ready-mixed and precast concrete used in construction, without any changes in their method of production, materials used or anything else. ‘other.

Additionally, the company announced that industry veteran Ryan Henkensiefken has joined the company as Vice President of Business Development. Henkensiefken has spent over a decade in the concrete and chemical industries. Most recently, he served as Market Development Manager for Master Builders Solutions (formerly BASF Construction Chemicals). Previously, he held business development and engineering positions for Central Concrete Supply, a unit of US Concrete.

During a pre-commercial pilot project with several of the largest manufacturers of cement, concrete and chemical admixtures, including Summit Materials, US Concrete, a Vulcan Materials company and Votorantim Cimentos (Prairie Material), it was demonstrated that the Concrete-AI’s platform reduced material costs and the 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-based concrete optimization to predict the performance of concrete based on its mix ratios and characteristics of coarse and fine aggregates, Supplemental Cementitious Materials (SCMs), and type. and the dosage of the chemical adjuvant. , etc The result is a highly optimized, cost-effective concrete that meets all engineering performance characteristics such as slump, setting time and strength, while using locally available raw materials to ensure safety, longevity and durability. code compliance.

Concrete-AI’s AI/ML approach to concrete batching helps solve some of the biggest challenges facing the industry: concrete overdesign; the intrinsic carbon footprint of cement (i.e. the glue or “binder” that holds aggregates together to make concrete); increased cost of materials; and shrinking margins.

Traditionally, because it has been difficult to predict how the constituents of a concrete mix will affect its performance, concrete mixes have been oversized such that they contain excess cement. In the United States alone, this overdesign costs industry more than $1 billion a year and results in 10 million tons of additional carbon dioxide (CO2) emissions associated with cement production. If Concrete-AI were adopted globally, carbon emissions from cement and concrete production could be reduced by 500 million tonnes per year.

“Concrete-AI offers the construction industry a first-of-its-kind, low-cap, rapidly deployable software-as-a-service (SaaS) solution that brings new performance and sustainable efficiency to concrete production while leveraging existing supply chains, manufacturing processes and the power of data,” said Alex Hall, CEO of Concrete-AI. “To reduce the embodied carbon footprint of concrete construction projects, we need to use the materials effectively and efficiently.Concrete-AI enables this while ensuring safety, advanced technical performance and durability by optimizing the use of cement, aggregates and various SCMs in concrete, in an unparalleled way through a data-driven approach At a time when states and the federal government are increasingly requiring and encouraging the reduction of embodied carbon in the built environment, Concrete-AI offers the industry’s leading data-driven solution to ensure cost-effective and sustainable construction.

The Concrete-AI core technology was developed at UCLA’s Institute for Carbon Management (ICM) by Gaurav N. Sant and Mathieu Bauchy. Sant and Bauchy are faculty members at UCLA’s Samueli School of Engineering in the Civil and Environmental Engineering departments. Sant is also a faculty member of the Department of Materials Science and Engineering and director of the Institute for Carbon Management at UCLA.

About Concrete-AI
Concrete-AI is a data science company that enables cost savings and embodied carbon reductions in concrete production. Leveraging the power of artificial intelligence (AI) and machine learning (ML), Concrete-AI’s platform designs and proportions the optimal concrete for any construction application. This reduces costs and the embodied carbon footprint of concrete, while ensuring performance certainty and compliance with existing codes and standards.

More information is available at

A photo accompanying this announcement is available at

CONTACT: Media Contact John Williams, Scoville PR for Concrete-AI (206) 660-5503, [email protected]

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