The project aims to streamline and harmonise the implementation of chemical grouping to support human risk assessment of combined exposure to multiple chemicals. Its main tasks are to map EFSA’s current and future needs, identify relevant data types and sources (including traditional toxicological data and emerging technologies) as well as practices and approaches (such as AI-driven data extraction), and define key aspects for efficient data collection and appraisal. The expected outcome is a compendium of existing data types, sources and approaches, accompanied by recommendations for an operational strategy, ideally utilizing automated solutions to enable consistent and effective chemical grouping across EFSA’s domains.