In the Era of AI, Cosmetics R&D Speeds up

AI platforms have the potential to assist cosmetic companies in finding the appropriate components for their solutions and also enhance their cosmetic formulas.

---

MetaNovas Biotech, which is positioned as the world's leading new generation of AI-driven functional raw materials&product R&D and design platform, was born in early 2021. Based on AI technology, it can design new raw materials for cosmetics, find new uses for existing raw materials, explain the mechanism of action, and also help the work of formulators improve.

Wang Meijie, CEO of MetaNovas Biotech, said that the core reason for the efficacy of cosmetics is that the active molecules contained in products interact with genes or targets in the skin through biological mechanisms. "For example, the well-known anti-aging raw material A alcohol is known to everyone for its anti-aging effect, so many people may not be clear about how it is anti-aging, but we can quickly find clues through our AI platform. Its application is to help brands better carry out the scientific dissemination of products."

She introduced that MetaNovas Biotech's AI algorithm platform can quickly analyze, find, recognize, or predict how bioactive substances affect specific molecular receptors, functions, and biological pathways. Compared with the traditional method, the data-driven method powered by machine learning can often provide a set of safe and effective product formulations within a few seconds to a few hours, shortening the entire development cycle. "Through the AI algorithm platform, some engineers and formulators can avoid detours in the research and development process, and give early warning for the risks in the research and development process."

AI platforms have the potential to assist cosmetic companies in finding the appropriate components for their solutions and also enhance their cosmetic formulas.

Wang Meijie told CHAILEEDO that MetaNovas has four core technology platforms, MetaNLP, MetaKG, MetaPep, and MetaOmics. "These four platforms can not only be used alone but also be used in combination with each other. For example, MetaKG+MetaOmics can help researchers understand the efficacy mechanism and optimize the scheme for different populations."