AI and data-driven solutions that solve customers’ materials-related issues.
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materialsIN uses state-of-the-art AI and data-driven technologies to empower clients with insights that allow rapid decision-making in material inspection, usage, production, selection, discovery, and innovation.
This enables accelerated innovation in the use of materials in an economically viable, and socially-responsible manner, and greatly minimizes companies’ cost and time-to-market.
The materialsIN approach significantly enhances the use of materials in both the present and next generation technologies.
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materialsIN applies a core methodology to its first three products, which include:
An automated materials inspection and characterization tool that accelerates the data-to-diagnosis time frame by coupling feature recognition with interpretation of images and spectra data;
A data analysis tool that accelerates the data-to-decision time frame in process optimization by identifying and assessing the influence of processes and materials in product quality in manufacturing;
A materials and data toolkit that accelerates science-based understanding that shortens the data-to-discovery time frame for the selection and development of new or substitute materials to enhance a product’s performance, sustainability, and cost-effectiveness.
Proprietary data-driven methodology that works with a wide array of data modalities, including spectra, imaging, textual, and numerical
Methodology that helps companies make the most informed decisions regarding the materials used in their products
Expertise that covers a wide range of materials science and engineering applications including, but not limited to, materials processing technologies, functional and structural materials
Speed to market: accelerated process for the design and discovery of solutions that prevent costly trial-and-error approaches
Simultaneous consideration of factors including technical, engineering and environmental, and financial
Customer-based solutions that are unique to their product needs
Combined product and service offering
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