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DataRobot Stock (DATO)
DataRobot aims to democratize AI for businesses. Their platform automates machine learning, which they claim enables teams to build, deploy, and manage models – accelerating data-driven insights for all skill levels.
DataRobot provides AI technology and ROI enablement services to global enterprises.
About DataRobot Stock
Founded
2012
Headquarters
Boston, MA, US
Total Funding
1.0B
Industries
Software, Data and Analytics, Artificial Intelligence
DataRobot intends to provide an enterprise AI platform that automates the entire process of AI applications from development and deployment to operation and governance. The company's platform seeks to optimize corporate value by delivering AI at scale and democratizes data science with end-to-end automation for machine learning development.
DataRobot was founded in 2012 by Jeremy Achin and Tom de Godoy and is headquartered in Boston, MA.
DataRobot Press Mentions
Stay in the know about the latest news on DataRobot
DataRobot acquires open source and AI startup Agnostiq
techtarget • Feb 11, 2025
DataRobot Acquires Agnostiq to Accelerate Agentic AI Application Development
businesswire • Feb 10, 2025
Customizable automated machine learning systems and methods
patents • Feb 07, 2025
Methods and systems for identification and visualization of bias and fairness …
patents • Feb 07, 2025
Systems and methods for visualizing machine intelligence
patents • Feb 07, 2025
Investors in DataRobot
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DataRobot Management
Leadership team at DataRobot
Chief Executive Officer
Debanjan Saha
Chief Technology Officer
Michael Schmidt
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DataRobot Key Facts
• DataRobot highlights that its platform is cloud-native and designed for scalability, supporting both small businesses and large enterprises. It integrates with major cloud providers and offers deployment options that align with customer preferences, whether on-premises or in the cloud. This flexibility enhances its market appeal and facilitates seamless adoption across different organizational needs.
• DataRobot has established a strong market presence and boasts an impressive customer base, including Fortune 500 companies and leading global organizations. Its platform is recognized for its performance in diverse use cases such as predictive analytics, risk management, customer insights, and operational optimization.
• DataRobot prioritizes innovation and invests significantly in research and development to enhance its platform capabilities continually. This includes advancements in AI model interpretability, automated feature engineering, and integration with emerging technologies like deep learning and natural language processing.
• Deploying AI and ML solutions can be complex and resource-intensive for organizations. DataRobot's platform aims to simplify the process, but challenges related to integration with existing IT infrastructure, customization requirements, and user adoption could hinder its customers' ability to derive value from the platform.
• The effectiveness of AI and ML models developed using DataRobot's platform heavily relies on the quality and availability of data. Issues such as data privacy concerns, regulatory changes (e.g., GDPR), or poor data integration could adversely impact the accuracy and reliability of models generated by DataRobot. This dependency introduces risks related to data governance and compliance.
• DataRobot operates in a competitive field within the AI and machine learning (ML) platform market. Numerous companies offer AI and ML solutions, ranging from large tech firms (like AWS, Google, Microsoft) to specialized startups. This competitive landscape can lead to pricing pressures, reduced margins, and challenges in acquiring and retaining customers.
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