TOKYO, Dec. 03, 2025 — Matlantis, the materials discovery subsidiary of Preferred Networks (PFN), revealed today its selection as a standout startup in the Research & Innovation category of the L’Oréal North Asia BIG BANG Beauty Tech Innovation Program (“BIG BANG”), an open innovation initiative by L’Oréal.
Matlantis operates a cloud-based AI simulation platform, which integrates advanced artificial intelligence with swift atomistic modeling. This technology powers every phase of materials discovery, empowering companies to quickly forecast material characteristics, trial new compositions, and boost innovation across various sectors, such as beauty and cosmetics. Presently, the platform aids in developing and refining cosmetic formulations, allowing businesses to curtail development timelines, enhance performance forecasting, and launch pioneering beauty products more rapidly, all while mitigating experimental expenses and risks.
Daisuke Okanohara, CEO of Matlantis, stated, “At Matlantis, we are dedicated to broadening access to materials discovery for researchers and businesses globally. Our platform enables innovators, particularly within the beauty sector, to create sustainable, high-performance materials and expedite their product journey from initial concept to market. This recognition from L’Oréal’s BIG BANG program is a significant honor and validates our commitment to revolutionizing the future of materials discovery.”
First launched in China in 2020 and subsequently expanded to include North Asian markets, BIG BANG serves as L’Oréal’s premier initiative for collaborating with innovative startups to co-develop pioneering beauty solutions. This year, the program attracted over 700 applicants from North Asia, marking its highest participation to date. Following a stringent multi-phase assessment, 19 companies received recognition, among them two from Japan.
For additional information, please contact Matlantis.
About Matlantis
Matlantis, a joint development by PFN and ENEOS, functions as a universal atomistic simulator designed to facilitate extensive material discovery by digitally 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 broad spectrum of materials. Matlantis Corp. (previously Preferred Computational Chemistry), a company with joint investment from PFN, ENEOS, and Mitsubishi Corporation, introduced 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 diverse materials, including catalysts, batteries, semiconductors, alloys, lubricants, ceramics, and various chemicals. Further details can be found at:
Media Contact:
Emily Townsend
Scratch Marketing + Media, representing Matlantis
