We will be participating in the Plant DX/AI Solutions Exhibition at Plant Show 2026, held at Tokyo Big Sight from Wednesday, July 15 to Friday, July 17, 2026. We will be showcasing Datachemical LAB, our AI and machine learning cloud service for experimental and manufacturing data analysis. Admission is free with prior registration. We look forward to seeing you there. Register to attend here Event Overview Exhibition Name: Plant Show 2026 Dates: Wednesday, July 15 – Friday,

■Client Information Company Name Ohara Inc. Location 1-15-30 Koyama, Chuo-ku, Sagamihara City, Kanagawa Prefecture Business Description Manufacturing and sales of glass materials for optical and electronics equipment We spoke with K.O. from the Research & Development Center. Datachemical LAB is being utilized at the company's Research & Development Center. We spoke with K.O., who is leading the internal adoption of Datachemical LAB. Q1. What themes are you using Datachemical

A research group led by Professor Momiyama at the Institute for Molecular Science has published a paper demonstrating the data-driven design of additives that enable efficient halogenation of highly fluorinated naphthalenes at room temperature. In this study, a machine learning model was built using Datachemical LAB. Molecular property descriptors derived from quantum chemical calculations (DFT) — including charge distribution and contributions to aromaticity — were used as i

■Client Information Company Name MORESCO Corporation Location 5-5-3 Minatojima-Minamimachi, Chuo-ku, Kobe Business Description Development, manufacturing, and sales of specialty lubricants, synthetic lubricants, materials, hot-melt adhesives, and energy device materials We spoke with Sueyoshi and Fujii from the Research & Development Department. Datachemical LAB is being utilized in the company's Research & Development Department. We spoke with Fujii (left) and Sueyoshi (rig