Concrete-AI is an artificial intelligence (AI) and machine learning (ML) platform that applies pioneering data analytics to revolutionize ready-mix concrete production.

Market:

The global concrete industry is a $ 1+ trillion market (US ~ $ 45 B). Materials are typically 60% of the cost of goods sold. Using Concrete-AI proprietary technology has the potential to reduce these costs by 4 – 10%. This represents a significant saving in an industry where EBITDA margins average 10% and EBIT runs in the low single digits.

More importantly, the application of our technology could also allow for a reduction of 500 megatons of CO2 generation globally on an annual basis, 11 megatons in the U.S. and 1 megaton in California. This in turn would allow for the generation of carbon offset credits which currently yield more than $ 20 / metric ton in the U.S. and more than EUR 60 in Europe.

The platform is further able to pivot the focus of optimization to waste products and the consumption of slow-moving inventories of aggregates. This has a very positive impact on cash management for producers though reduction of net working capital.

Technology:

The company aims to improve profitability, ensure certainty of performance, and to reduce the embodied carbon dioxide (CO2) intensity of concrete construction. Traditional concrete production processes lead to lost profits and waste due to the over-use of cement, the most expensive and most carbon-intensive ingredient in concrete. Concrete-AI’s cloud-based platform solves this problem by leveraging custom-built machine learning algorithms and proprietary databases that allow prescriptions of the most cost-efficient concrete proportions and robust predictions of their field performance.

Advantages:

• Solves inefficiencies in ready-mix concrete production, and subsequent extraneous CO2 emissions.
• Delivers optimal concrete formulations, which feature guaranteed performance and compliance.
• The Concrete-AI platform readily enables 5-15% savings in material costs and cement use.
• The team has a unique blend of industry experience and machine learning and technical material science skills.

Development Stage:

• Prototype

Patents Issued:

• Coming Soon

Select Publications:

• Coming Soon

Contact:

Website: www.concrete-ai.com
Graduated in 2023