Comet.ml has introduced a feature called the Query Builder to enhance the discoverability and organization of machine learning experiments by allowing users to filter experiments based on metrics, metadata, and parameters. This feature addresses user feedback regarding the need for better experiment management, enabling users to perform complex filtering to identify top-performing models and save these filters as Saved Queries for future use. Additionally, the Query Builder can be combined with a Group By feature to further organize experiments, such as by learning rates. Comet.ml aims to improve experiment transparency and collaboration, akin to how GitHub transformed code management, by offering a platform that tracks datasets, code changes, and experimentation history. The company is led by CEO and co-founder Gideon Mendels, who has a background in NLP and worked at Columbia University and Google.