Foundation Models have completely taken over unstructured data domains like natural language and images, delivering significant advances in performance across tasks with little to no task-specific training. Yet structured and semi-structured relational data, which represent some of the most valuable information assets, largely miss out on this AI wave. Here, we present KumoRFM, a Relational Foundation Model (RFM) capable of making accurate predictions over relational databases across a wide range of predictive tasks without requiring data or task-specific training.