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DataRobot

Overview
HQ Location
United States
Year Founded
2012
Company Type
Private
Revenue
$10-100m
Employees
201 - 1,000
Website
Twitter Handle
Company Description
DataRobot offers a Machine Learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, 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 your dataset and prediction target. The DataRobot platform evaluates hundreds of cutting-edge Machine Learning algorithms to discover, deploy, and customize the best Machine Learning models for every situation. It also delivers the most accurate insights at scale, providing the fastest path to Data Science success for organizations of all sizes. DataRobot was founded in June 2012 and is headquartered in Boston, Massachusetts, USA.
IoT Solutions
Automated Machine Learning
Automate the creation of advanced Machine Learning models that incorporate our world-class Data Science expertise.

Automated Time Series
Automate the development of sophisticated time series models that predict the future values of a data series based on its history and trend. Organizations of all sizes will improve forecasts for sales volume, product demand by SKU, staffing, inventory, and a host of financial applications.

MLOps
Delivering the capabilities that Data Science and IT Ops teams need to work together to deploy, monitor, and manage Machine Learning models in production.
Key Customers
Accenture, Aegon, Deloitte, Havard Business School, Panasonic, Lenovo, United Airlines
IoT Snapshot
DataRobot is a provider of Industrial IoT infrastructure as a service (iaas), platform as a service (paas), and analytics and modeling technologies, and also active in the finance and insurance, healthcare and hospitals, oil and gas, retail, and security and public safety industries.
Technology Stack
DataRobot’s Technology Stack maps DataRobot’s participation in the infrastructure as a service (iaas), platform as a service (paas), and analytics and modeling IoT technology stack.
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Application Layer
  • Functional Applications
  • Supporting Technologies
  • Analytics & Modeling
  • Application Infrastructure & Middleware
  • Cybersecurity & Privacy
  • Networks & Connectivity
Technological Capability:
None
Minor
Moderate
Strong

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