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materialsIN has solved materials and process-related issues for a wide breadth of companies and industries to date, and has enabled decision-makers of these companies to improve material usage, discovery, handling and design as it relates to economic, performance and environmental sustainability. Sample customers have ranged from a global paper manufacturer, an adhesives distributor, an alloy company, a plastics manufacturer, a sustainability-focused architecture firm, and a global engineering services firm, to name a few.

Enclosed are several case studies which show the materialsIN methodology at work:

Case Studies

Machine learning empowers cleaner cement manufacturing

materialsIN Pro-Opt for cement market

In this instance, materialsIN employs its MCDM machine learning (ML) model to handle the conflicting objectives between cement production, low-carbon fuel usage for energy consumption, and CO2 emissions.

The materialsIN methodology provides multiple energy usage solutions for specific cement production and emission targets.

AI-driven solution for in-line inspection

materialsINspect for EV battery market

The combined approach by Company X and materialsIn empowers customers with technological solutions to identify defects in ultrasonic scans.

materialsINspect provides a rapid real-time solution for defect detection and accelerates identification of weld defects, thereby, providing exceptional quality control over battery tab welds.

AI-driven solution to high entropy alloy design for engine application

materialsINsight for HEA design

materialsIN, with its AI-powered solution, enables rapid screening of optimized HEA composition from a seemingly infinite compositional space.

materialsINsight expedites alloy design to address HEA design challenge.

Learn more about how materialsIN will work in your industry