Unlearn was founded in 2017 by a team of world-class machine learning scientists to drive clinical trial timelines towards zero with novel applications of artificial intelligence and statistical modeling. Enrollment challenges and timeline delays plague clinical trials. Unlearn has invented a type of randomized controlled trial called a TwinRCT, which generates reliable evidence while enabling the use of smaller control groups than traditional trials. TwinRCTs complete enrollment in less time, are more attractive to potential participants, and provide a regulatory-suitable method for using machine learning-based prognostic models trained on historical trial data to improve future clinical trials.