Become an AI-driven enterprise with automated machine learning

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.

What is DataRobot?

“Simply put, the world’s most advanced enterprise automated machine learning platform.”    –  The horse’s mouth

DataRobot is 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.  It can even be used to democratise data science entirely by giving data analysts the tools to select, train and run predictive models in production. 

DataRobot addresses the critical shortage of data science talent by changing the speed & economics of predictive analytics. The platform uses massively parallel processing to train and evaluate 1000s of models in R, Python, SparkML, 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 a given dataset and prediction target.

DataRobot's world-class Data Scientists

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Finished Top 3 in Kaggle Competitions
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Earned #1 ranking on Kaggle
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Predictive Models built in DataRobot Cloud

How Does it Work?

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Automated Machine Learning

The ability to truly democratise the process is perhaps the most important element of any enterprise machine learning platform. DataRobot automates the entire modelling life-cycle, 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!

+44 (0) 203 962 1778

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Bulien LLP is a Limited Liability Partnership registered in England & Wales, at our Newcastle upon Tyne address.

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