Poly is a better fit when “asset management” really means finding knowledge across many formats, not just organizing images. It uses AI-first, multimodal search to surface relevant content across documents and media, going beyond folders and tags.
Unlike traditional libraries that index files at the filename or thumbnail level, Poly focuses on semantic discovery, including similarity-style retrieval and deeper indexing within content. That approach is useful when the important information is buried inside a PDF, a clip, or a long file rather than obvious from a cover image.
Poly also leans into advanced search modes such as similarity, color, and face-based discovery, which can speed up reuse and reduce duplicate work. For teams juggling mixed repositories, it can behave more like an intelligent search layer than a place to manually curate collections.
The trade-off versus Eagle is that it’s less about a handcrafted inspiration library and more about cross-repository discovery. Choose it when search depth and cross-format recall matter more than a desktop-first browsing experience.