DataRobot
Where it's from
DataRobot was founded in Boston, Massachusetts, USA in 2012 and is headquartered there, with additional offices worldwide including London, Tokyo, and Singapore.
Company History
DataRobot was founded in 2012 by Jeremy Achin and Tom de Godoy with the vision of democratizing data science and making machine learning accessible to business users. The company emerged from the Kaggle competition community and has since grown to become one of the leading enterprise AI platforms. DataRobot has raised over $1 billion in funding and went public through acquisition considerations, establishing itself as a major player in the AI/ML space.
Mission
To democratize data science and make it accessible to every organization, enabling them to harness the power of AI to drive business value and innovation.
Vision
To create a world where every organization can benefit from AI, regardless of their technical expertise or resources, by providing an intuitive and powerful platform that automates the complex aspects of data science.
Values
- Innovation: Continuously pushing the boundaries of what's possible with AI and machine learning
- Accessibility: Making advanced analytics accessible to users of all skill levels
- Trust: Building transparent and explainable AI solutions
- Collaboration: Fostering teamwork between business users and data scientists
- Excellence: Delivering high-quality solutions that drive real business impact
Products and Services
DataRobot offers a comprehensive AI platform that includes automated machine learning, model deployment, monitoring, and governance capabilities. The platform serves various industries and use cases, from predictive analytics to computer vision and natural language processing.
Latest Technologies and Trends
DataRobot continues to innovate with generative AI capabilities, advanced MLOps features, and enhanced automation tools that reduce the time from data to deployment.
Curiosities
DataRobot's founders met through Kaggle competitions and the company has maintained strong ties to the data science competition community, often recruiting top talent from these platforms.