Rapid speed to deployment and time-to-value
Get up and running within hours, with no lag time to start building models and making predictions. And with DataRobot University education under your belt and dedicated support from our world-class customer-facing data scientists (CFDS), you’ll see bottom-line value from machine learning projects in no time!
Low total cost of ownership
You’re laser-focused on bringing your domain expertise to machine learning projects; let us take care of all the hardware installation, infrastructure setup, and computing costs. Get enterprise-level machine learning capabilities at your fingertips with a low total cost of ownership, without being surprised by extra add-ons or hidden fees down the road.
Robust enterprise-grade capabilities
Just because you don’t have on-premise hardware doesn’t mean you have to sacrifice enterprise-grade capabilities. The DataRobot cloud platform delivers the blazing-fast performance, strict adherence to controls, and relentless focus on data protection and security you expect from enterprise-level software, without any of the hassle.
Custom packages tailored to different deployments and needs
Every company has unique business and machine learning needs. We get that; that’s why our cloud platform offers a variety of custom packages, tailored to different deployments. Want to democratize machine learning to a large number of users? Looking to establish a streamlined modeling factory focused on pumping out a large variety of different models with a high volume of prediction throughput? We've got you covered!
DataRobot Cloud, powered by Amazon Web Services
To deliver DataRobot Cloud, DataRobot has partnered with Amazon Web Services (AWS), the world’s most comprehensive and widely adopted cloud platform. The flexibility and scale of the AWS platform enables DataRobot to deliver a robust, secure, on-demand platform to our customers. This allows rapid deployment of DataRobot and allows our users to quickly build and deploy highly accurate machine learning models in a fraction of the time.