With that in mind, aiming to provide services that truly promote data science utilization at research and manufacturing sites, we founded Datachemical, Inc., leveraging the expertise of our CTO Hiroaki Kaneko (Professor at Meiji University's School of Science and Technology). Our company handles the technical domains of chemoinformatics (molecular design), materials informatics (materials design), and process informatics (process design and management) in an integrated manner, providing services that allow customers to conduct high-quality data analysis and machine learning across various technical projects on their own — from laboratories to equipment and plants.

　Data science is not a magic tool that solves everything simply by inputting the right data; it is absolutely essential for customers to accumulate the know-how needed to utilize it themselves. We strongly encourage customers to use our data analysis and machine learning platform, Datachemical LAB, to actually run through a series of programs using their own experimental data. For those who are new to machine learning as well as those who already have expertise in research and manufacturing, applying it will bring ideas one after another. Datachemical LAB can help customers generate those ideas.

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　We are committed to contributing to helping engineers work more efficiently in their daily tasks through data science and to demonstrating their abilities on high value-added technical projects. We look forward to your continued support.