Home
Products
Approach
Industries
Company
Contact
Home
Products
Approach
Industries
Company
Contact
Founded in 2019 and based in Buffalo and New York City, materialsIN is a Public Benefits Corporation that harnesses a proprietary data-driven engine developed by leading materials scientist, Dr. Krishna Rajan, to provide materials-related usage, design and sustainability solutions.
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
A serial entrepreneur and business consultant, Frits has founded, operated, provided strategy for, and raised funding for a wide array of startup ventures over the last twenty years.
A pioneer in developing the field of Materials Informatics, Krishna is a materials scientist with over thirty years of experience in advanced materials development for applications in medicine, aerospace, microelectronics and manufacturing industries.
Chitra, trained as an economist, has twenty-four years of executive level experience in academic and research administration with extensive experience in developing and implementing large-scale programs, research consortia, and technology based partnerships.
A senior operating executive with over twenty-five years of experience in industry and university research, Ilya has an extensive background in general management, strategic planning, business, and product development.
Ruhil is highly experienced in data-driven projects to find innovative machine learning solutions for engineering problems, and a recent project includes implementing dimensionality reduction techniques to explore chemical space for automatic detection of classification patterns.
BQP (BosonQ Psi) and materialsIN, two deep-tech ventures based in Upstate New York, have partnered on a novel Quantum Machine Learning (QML) solution that addresses the challenges associated with Material Informatics using classical Machine Learning.
Read more
