Causaly AI finds hidden evidence in the world’s biomedical literature. Our mission is to transform how humans can find, visualise and interpret biomedical knowledge, and contribute to accelerating solutions to some of the greatest challenges we face. Our platform understands evidence by semantics and temporal occurrence, and machine-reads all published evidence to date, identifying all known cause and effect relationships, rapidly accelerating life science research and discovery. Current applications include drug discovery, toxicology, safety, epidemiology, due diligence, drug commercialisation, market access, clinical care and more.

Causaly is an AI for Biomedical Cause & Effect discovery, empowering researchers and decision makers to quickly find causal evidence and generate insights from vast amounts of documents. The company is developing a machine-reading platform that turns free-flow text into causal knowledge graphs and applies machine learning to surface new knowledge. This helps users to accelerate their research schedules and improve time-to-insight significantly.