TOKYO, Dec. 03, 2025 — Matlantis, the materials discovery division of PFN, announced today its recognition as one of the outstanding startups in the Research & Innovation category of the L’Oréal North Asia BIG BANG Beauty Tech Innovation Program (“BIG BANG”), L’Oréal’s open innovation initiative.
Matlantis’ cloud-based AI simulation platform integrates advanced artificial intelligence with high-speed atomistic modeling. By leveraging technology across every stage of materials discovery, Matlantis has empowered companies to rapidly forecast material properties, evaluate new formulations, and accelerate innovation in various industries, including beauty and cosmetics. Currently, the platform aids in the design and optimization of cosmetic formulations, helping businesses reduce development cycles, enhance performance prediction, and bring pioneering beauty products to market more swiftly, while simultaneously decreasing experimental costs and associated risks.
“At Matlantis, our dedication lies in making materials discovery accessible to researchers and enterprises globally,” stated Daisuke Okanohara, CEO of Matlantis. “Our platform enables innovators, including those in the beauty sector, to create sustainable, high-performing materials and expedite their journey from initial concept to market. Receiving this recognition from L’Oréal’s BIG BANG program is a tremendous honor and validates our mission to revolutionize the future of materials discovery.”
Launched in China in 2020 and subsequently expanded to North Asian markets, BIG BANG is L’Oréal’s flagship platform for collaboratively developing breakthrough beauty solutions with leading startups. This year’s program attracted over 700 applicants from North Asia, marking the highest number in its history. Following a stringent multi-stage evaluation, 19 companies were selected for recognition, including two from Japan.
For further information, please contact Matlantis.
About Matlantis
Matlantis, a universal atomistic simulator, was co-developed by PFN and ENEOS to facilitate extensive material discovery by computationally replicating the atomic-level behavior of novel materials. PFN and ENEOS integrated a deep learning model into a traditional physical simulator, thereby boosting simulation speed by tens of thousands of times and enabling support for a diverse array of materials. Matlantis Corp. (previously Preferred Computational Chemistry), a joint venture backed by PFN, ENEOS, and Mitsubishi Corporation, launched Matlantis as a cloud-based software-as-a-service in July 2021. More than 150 companies and organizations currently utilize Matlantis for the discovery of various substances, including catalysts, batteries, semiconductors, alloys, lubricants, ceramics, and chemicals. To learn more, visit:
Media Contact:
Emily Townsend
Scratch Marketing + Media on behalf of Matlantis
