The Cleanlab team has successfully launched their flagship product, Cleanlab Studio for Enterprise, with $5 million in seed funding. The product aims to reduce 80-90% of the time and cost needed for teams to deploy data-driven AI solutions like LLMs, ML models, and business intelligence analytics that work more reliably and accurately on real-world datasets. By automating the process of finding and fixing outliers, label issues, and other data issues in image, text, and tabular datasets, Cleanlab Studio enables enterprise teams to train more reliable models and derive more accurate analytics and insights. The product has been pioneered at MIT, rooted in open-source, and proven by Fortune-500 companies such as BBVA and Google.