materialsIN uses advanced data analytic techniques and material science for the inspection, development, design, discovery and handling of materials.
materialsIN works with a wide range of data modalities, including spectra, imaging, textual, and numerical, to achieve automated and accurate insights into materials-related issues.
Our solutions are differentiated by their speed and accuracy, which save customers time and money.
Its first three products, materialsINspect, materialsINsight, and materialsIN Pro-Opt, can be applied to any material.
Our design-with-intent approach provides customers with the ability to select materials that meet multiple performance criteria, including advanced engineering features that meet the needs of emerging technologies.
The materialsIN method also allows for the simultaneous consideration of other factors, such as sustainability, toxicity, cost, and availability.
A proprietary data-driven methodology, which has been developed over 40 years by Dr. Krishna Rajan, a leader in the materials informatics space. The methodology:
uses machine-learning/data analytics to improve production processes and materials usage and development
harnesses statistical learning methods with data and physics-based computational techniques information to solve customers’ materials-related issues