This is like a super-smart recipe helper for cosmetics chemists: it analyzes huge amounts of ingredient and formula data to suggest greener, more sustainable product recipes that still meet performance and safety standards.
Reduces the time, cost, and trial-and-error involved in formulating new, more sustainable cosmetics while ensuring they perform well and comply with regulations.
Combination of L’Oréal’s proprietary historical formulation and ingredient performance data with IBM’s AI tooling; deep domain expertise in cosmetic science and regulatory constraints baked into the system makes the model difficult for generic AI competitors to replicate quickly.
Hybrid
Structured SQL
High (Custom Models/Infra)
Access to high-quality, labeled formulation and sustainability data (ingredients, lifecycle assessments, safety profiles); integration with L’Oréal’s internal R&D systems and regulatory databases.
Early Adopters
Joint development between a global cosmetics leader and a major enterprise AI provider focused specifically on sustainable formulation, rather than generic generative chemistry or off-the-shelf LLMs, tailored to cosmetics constraints and regulations.