DataRobot raises $54 million to bring machine learning to predictive analytics

DataRobot, a machine learning platform that helps enterprises build predictive models at speed, has raised $54 million in a Series C funding round led by existing investor New Enterprise Associates (NEA). Founded out of Boston in 2012, the DataRobot platform features hundreds of open-source machine learning algorithms and harnesses best practices and knowledge from "the world's leading scientists," enabling users of all skill levels to build predictive models for their companies. Users upload their data, select their target variables, and DataRobot "automates, trains, and evaluates" multiple predictive models. Though it can be used to help data scientists work more quickly and at scale, DataRobot is targeted at anyone within the enterprise who's looking to tinker with artificial intelligence to see whether it can improve their decision making. The company had raised around $ 57 million before now, including a $33 million round last February, and its latest cash injection will be used to "fuel the company's mission to bring automated machine learning to mainstream business users," according to a company statement.