Summary
AI and geospatial analytics were used to link biodiversity impacts to specific corporate assets across public markets portfolios. The system merged environmental data with company asset information to generate transparent, drillβdown risk insights. A scalable cloudβbased pipeline automated attribution across industries and geographies. This enabled investors to better assess natureβrelated risks and integrate biodiversity considerations into investment strategies.