Cleanlab

Cleanlab is a data-centric AI platform that automatically finds and fixes label errors, outliers, and data quality issues in ML training datasets using confident learning algorithms. Its open-source library and enterprise platform help data science teams identify mislabeled examples that degrade model performance, improve dataset quality systematically, and train more accurate models with less data. ML teams building text classification, NLP, and tabular ML models use Cleanlab to address the root cause of model errors, which is often data quality rather than model architecture.