The three Cleanlab founders did their PhDs together at MIT, conducting over a decade of computer science research and amassing over 15,000 citations.

Their mission was simple: empower any organization to automatically find and fix every major issue in datasets to automate reliability for data-driven solutions (e.g. Large Language Models (LLMs), AI models, analytics systems).

The team invented the theory and algorithms that became a sub-field of machine learning called confident learning eventually realized as the most popular software for systematically improving the value of any dataset.