On-Premise/Private AI Cloud

Scale your data science capabilities while maintaining ultimate control over performance, physical and logical access, data protection, and more.

View DataRobot Product Sheet
With support for a combination of local hardware and cloud hosting provider(s) DataRobot offers blazing performance, strict adherence to controls, and a relentless focus on data protection.
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"We are using DataRobot to make some pretty huge decisions at Steward Health Care. DataRobot is very much a part of our growth strategy. It's uncharted territory for healthcare."

Erin Sullivan
Erin Sullivan
Executive Director, Steward Health Care
Scalable performance

Scalable performance

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. Large datasets? Wide datasets? No problem. The speed and scalability of modeling is limited only by the computational resources at DataRobot's disposal. With all this power, the work that used to take months is now finished in just hours.

Rapid deployment and integration

Rapid deployment and integration

The best machine learning models have little to no organizational value unless they are rapidly operationalized within the business. With DataRobot, deploying models can be done with a few mouse-clicks. Plus, every model built by DataRobot publishes a REST API endpoint, making it a breeze to integrate within modern enterprise applications. You can also embed models directly into your applications with downloadable scoring code.

Robust model management and replacement

Robust model management and replacement

Proactively monitor and manage all deployed machine learning models, including models built outside DataRobot, from a central portal to maintain peak prediction performance. DataRobot’s embedded data science expertise can detect model decay before actual results are known, allowing you to re-train and replace models to ensure they remain accurate and consistent throughout changing market conditions.

Installation and model scoring in Hadoop

Installation and model scoring in Hadoop

DataRobot can be installed as a service on YARN in Hadoop clusters, and perform distributed model scoring on data stored on HDFS, to bring automated machine learning to your Hadoop stack. Using Spark for large-scale data processing, DataRobot is certified compliant for data security and management. This means that DataRobot machine learning data objects and operations are visible to, and under the control of, Hadoop management processes and policies.

Enterprise-Grade

Now that machine learning impacts an ever-increasing number of business processes, it is critical that a platform for building and deploying models is hardened, trusted and integrated with the ecosystem of technologies within an organization.

DataRobot is deployed by some of the largest Fortune 100 organizations around the world. Features that make DataRobot truly enterprise grade include:

  • “Four nines” of availability (99.99%)
  • Distributed and self-healing architecture
  • Seamless integration with enterprise security technologies
  • Hadoop cluster plug-and-play
  • Multiple popular database certifications
DataRobot can run inside a VPC on any of the major cloud infrastructure providers, including:

Interested in learning more about DataRobot for your Enterprise?

Contact us