Cleanlab

Cleanlab is an AI data quality platform that automatically identifies and fixes label errors, outliers, and data quality issues in ML training datasets — improving model accuracy without collecting new data. Its Confident Learning technology detects mislabeled examples in any dataset with remarkable precision, and its cleanlab Studio product enables teams to review and fix data quality issues at scale. ML teams at organizations including Google, Microsoft, and government agencies use Cleanlab to improve model performance by fixing the data problems that silently degrade accuracy, often achieving better results from existing data than from collecting additional examples.