DataRobot is a leading AI platform that streamlines the AI lifecycle, unifying development, delivery, and governance for enterprise solutions. Available via SaaS, virtual private cloud, or self-managed infrastructure, it empowers organizations to build, deploy, and manage predictive, generative, and agentic AI models with seamless automation and enterprise-grade scalability.
DataRobot is an extensive AI platform that offers end-to-end services from data preparation, machine learning development, and model operations. It helps organizations eliminate the complexity of cleaning, transforming, building, deploying, and monitoring AI models and making advanced AI accessible to organizations of any size without requiring the kind of technical expertise typically needed for its implementation.
With its intuitive interface, automation capabilities, and support for collaborative workflows, DataRobot enables organizations across all industries to adopt AI quickly. Teams can use DataRobot for quicker experimentation, faster deployment at scale, real-time model monitoring, and faster iterations, enabling them to make better decisions, enhance operational efficiencies, and capture new value from their data. The platform is designed to be user-friendly and flexible, facilitating the use of AI and improving its implementation by serving the needs of both technical experts and those most affected by the transition to AI.
| Legal Name | DataRobot Inc |
| Headquarters | Boston, Massachusetts, United States |
| Business Model | B2B |
| Founding Date | 2012 |
| No. of Employees | Approx. 1,000 (As of 2025) |
| Debanjan Saha | Chief Executive Officer |
| Amy Suchanek | Chief People Officer |
| Brian Brown | Chief Legal Officer and Chief Financial Officer |
| Jay Schuren | Chief Revenue Officer |
| Venky Veeraraghavan | Chief Product Officer |
| Prajakta Damle | Senior Vice President, Product |
| Amit Purohit | Senior Vice President, Engineering |
| Rae Naidoo | Senior Vice President, Strategy and Operations |
DataRobot’s primary revenue is derived from subscription-based access to its enterprise AI/AutoML platform, which offers tiered editions (cloud, single-tenant, and business-critical). Secondary revenue comes from professional services (consulting, training, implementation), strategic AI partnerships, and platform extensions in automation, predictive analytics, and model monitoring (MLOps).
Client Segments: Primarily large corporations, SMBs, government and public agencies, some education institutions, and vertical-specific clients in energy, finance, healthcare, retail, manufacturing, and others.
Target Companies: Large Corporations, SMBs, Public Sector Organizations, Tech Startups, E-commerce Platforms, and Others.
Target Geography: Global, including North America, Europe, Asia-Pacific, Latin America, the Middle East, and Africa.