Cleanlab Studio is a novel data-centric AI platform designed to address common issues in data quality, machine learning, and data annotation. It uses AI algorithms to automatically detect and fix problems in raw datasets, reducing the need for manual intervention and increasing the efficiency of data preparation work. With its no-code interface and Python API, Cleanlab Studio can be used without extensive coding knowledge, making it accessible to teams that may not have the expertise to develop custom solutions. The platform is designed to complement traditional data quality tools, providing a more comprehensive approach to ensuring the accuracy and reliability of datasets. By automating data issue detection, auto-labeling, and model deployment, Cleanlab Studio enables teams to deliver better results faster, across various applications and industries, including master data management, product information management, document/content curation, and data analytics. Its AutoML capabilities make it an attractive option for understaffed data science and AI teams, allowing them to produce their first AI applications with minimal expertise.