DataRobot is an automated machine learning platform that makes it fast and easy for anyone to build and deploy accurate predictive models.
DataRobot provides a predictive analytics platform to rapidly build and deploy predictive models the cloud or an enterprise.
DataRobot was founded in Jun 1, 2012 by Jeremy Achin & Thomas DeGodoy. The company is headquartered in Boston, Massachusetts with an addittional office in Japan. The company also has operations in London, United Kingdom; Paris, France; Kyiv, Ukraine; Tokyo, Japan, and Singapore.
DataRobot offers an automated machine learning platform for data scientists of all skill levels to build and deploy accurate machine learning models in a fraction of the time.
The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations and tuning parameters to deliver the best models for your dataset and prediction target.
DataRobot serves business analysts, data scientists, executives, software engineers, and information technology professionals in banking, insurance, financial technology, healthcare, manufacturing, marketing, public sector, and sports analytics industries.
DataRobot is backed by leading investors including New Enterprise Associates, Intel Capital, Sapphire Ventures, DFJ Growth, & Meritech Capital Partners among others. The company raised $206M in it's latest "Series E" financing on Sep 17, 2019. This brings DataRobot's total funding to $430.6M to-date.
DataRobot was valued at over $1B during it's latest "Series E" financing on Jul 29, 2019, joining the "unicorn" club. The company has also acquired Nutonian, Nexosis, Cursor, & ParallelM to-date.
DataRobot Recognized as a Leader in Forrester New Wave for Automation-Focused Machine Learning Solutions, Q2 2019. CRN Recognized as 2018 Emerging Vendor from CRN. DataRobot was also Honored Twice by Datanami’s 2018, recognized as Best Big Data Technology for Machine Learning (Editors’ Choice), and as Best Big Data Technology for Data Science Platform (Readers’ Choice).