Datarobot
This company is in the pipeline of America 2030, IPO CLUB’s $50M, actively managed secondary fund focused on U.S. defense, energy, security, and AI.
Updated in January 2026
Headquarter: Boston, Massachusetts, USA
Year Founded: 2012
Leadership: Debanjan Saha
Industry Sectors: AI; Machine learning platforms; Automated machine learning (AutoML); Enterprise AI software
Funding Round: $300M Series G (2021)
Valuation: ~$6.3B
Is DataRobot A Public Company? No, it is currently private
What Is DataRobot?
DataRobot is a U.S.-based enterprise artificial intelligence software company founded in 2012 by Jeremy Achin and Tom de Godoy, with headquarters in Boston, Massachusetts. The company provides an end-to-end AI lifecycle platform designed to help organizations build, deploy, govern, and scale AI solutions. DataRobot’s mission is to democratize AI by enabling both data scientists and business users to create production-ready models that deliver measurable business impact.
Technology & Products
DataRobot offers a comprehensive AI platform that spans automated machine learning (AutoML), predictive modeling, generative AI, and MLOps. Its technology automates key steps such as data preparation, feature engineering, model selection, and validation, while also supporting custom modeling for advanced users. The platform includes robust deployment, monitoring, and governance capabilities, allowing enterprises to manage model performance, bias, drift, and compliance over time. DataRobot has expanded its offerings to support generative AI use cases, integrating foundation models with enterprise controls for security and reliability.
Market Opportunity
DataRobot operates in the large and rapidly growing enterprise AI and machine learning software market, driven by widespread adoption of data-driven decision-making across industries such as financial services, healthcare, manufacturing, retail, and telecommunications. Many organizations struggle to operationalize AI beyond pilot projects, creating demand for platforms that reduce complexity and accelerate time to value. As enterprises scale both predictive and generative AI initiatives, DataRobot is positioned to serve customers seeking governed, production-grade AI rather than experimental tools.
Competitive Landscape
DataRobot competes with cloud hyperscalers’ AI platforms, open-source machine learning frameworks, and other enterprise AI software providers. Its primary differentiation lies in its end-to-end, model-agnostic approach, combining ease of use with deep enterprise governance and operational tooling. While hyperscalers benefit from infrastructure integration and open-source tools offer flexibility, DataRobot positions itself as a platform layer focused on accelerating AI outcomes, reducing deployment risk, and enabling organizations to scale AI consistently across teams and use cases.
How To Buy Datarobot Stock?
Datarobot is currently a private company and is not publicly traded on major stock exchanges like the NASDAQ or NYSE. This means you can buy shares through a pre-IPO platform or brokerage like IPO CLUB.
DataRobot's end-to-end capabilities, from raw data to value. See how DataRobot Data Prep, DataRobot Automated Machine Learning, Visual AI, Location AI, and DataRobot MLOps work. Datarobot may IPO soon.
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