CFM is a language-aligned concept foundation model that extracts spatially localized, visually grounded, and human-interpretable concepts at various granularities from images, organizes them into hierarchies, automatically assigns names to them, enabling concept-based explanations for any downstream task that the foundation model can perform, such as classification, open vocabulary segmentation, and captioning.