Toxicology teams at leading cosmetics companies face growing complexity — new ingredients, more regulations, fragmented workflows. We build privacy-first AI tools for the full safety workflow.
Automate workflows and drive efficiency throughout your operations with up-to-date, structured, standardised data.
Accelerate discovery and derisk innovation with AI-powered tools for predictive safety and exposure modelling.
Leverage privacy-first AI tools without exposing internal data to optimise your compliance workflows.
Want to explore how privacy-first AI could support your safety research and compliance workflows?
AI4Cosmetics is a start-up founded and led by Dr Nicoleta Spînu, a computational toxicology PhD trained at the top EU leading research labs in the field, namely Liverpool John Moores University, the Joint Research Centre EURL ECVAM, and the Mario Negri Institute for Pharmacological Research. AI4Cosmetics brings privacy-enhanced AI to a domain where the most valuable data has always been the hardest to use — backed by an advisory group of renowned scientists, toxicologists, AI engineers, and former founders.