Cleanlab Studio is a no-code AI data correction tool that helps identify and rectify problems in multi-label classification datasets, which are challenging due to the need for high-quality labels. The tool automatically detects issues such as missing or incorrect labels, ambiguous examples, and outliers, providing users with the information needed to improve dataset quality. By using Cleanlab Studio, users can quickly and easily enhance their multi-label data, train more robust models, and deploy cutting-edge machine learning algorithms with high accuracy. The tool is particularly useful for applications that require multiple labels or tags per example, such as content moderation, document curation, and image tagging, and can be applied to various types of datasets, including images, text, and tabular data.