Axiom is dedicated to empowering scientists to eliminate molecular toxicity by providing the most accurate and affordable predictive models. Leveraging a unique dataset of more than 100,000 molecules tested in pooled primary human liver cells, Axiom’s ML/AI models surpass conventional toxicity screening methods by offering higher sensitivity and specificity in hazard detection. The platform also integrates mechanistic cell-based data (mitochondrial toxicity, ER stress, ROS formation, cytotoxicity, and more) with clinical adverse outcomes to deliver precise risk assessments at relevant exposure levels. Axiom’s ML/AI models run solely on the molecular structure, removing the need for costly physical experiments. As a result, scientists can affordably identify toxic substructures and be guided toward safer molecule design, ultimately accelerating the development of more effective and less toxic therapeutics.