The world’s most advanced enterprise automated machine learning platform

What is DataRobot?

DataRobot captures the knowledge, experience, and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time it takes using traditional data science methods.

Automated Machine Learning

The ability to truly democratize the process is perhaps the most important element of any enterprise machine learning platform. DataRobot automates the entire modeling lifecycle, enabling users to quickly and easily build highly accurate predictive models. The only ingredients needed are curiosity and data — coding and machine learning skills are completely optional!


The DataRobot platform automatically searches through millions of combinations of algorithms, data preprocessing steps, transformations, features, and tuning parameters for the best machine learning model for your data.


The intuitive web-based interface allows anyone to interact with a very powerful platform, regardless of skill-level and machine learning experience. Users can drag-and-drop then let DataRobot do all the work or they can write their own models for evaluation by the platform.


DataRobot features a massively parallel modeling engine that can scale to hundreds or even thousands of powerful servers to explore, build and tune machine learning models. With all this power, the work that used to take months is now finished in just hours.


Explore detailed information about this product, its uses and how it can help your business.

How DataRobot Works

See DataRobot's automated machine learning platform in action and discover why businesses and organizations are using it to dramatically impact their bottom line.

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DataRobot enables users of all skill levels – from business people to analysts to data scientists – to build and deploy highlyaccurate
machine learning models in a fraction of the time of traditional modeling methods.

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