DataRobot (Automated Machine Learning) Dossier

DataRobot (Automated Machine Learning) reported $255 million in Annual Recurring Revenue, operating primarily on a SaaS subscription model that generates over 90% of its revenue from recurring subscriptions. The platform targets B2B large enterprises and upper mid-market firms, driven by adoption in highly regulated sectors like Financial Services & Insurance and Healthcare & Life Sciences.

Financial Highlights:

* Total Funding: $1.05 billion to $1.256 billion

* Annual Recurring Revenue (ARR): $255 million

* Peak Valuation: $6.3 billion

* Total Customers: Over 2,050

* Global Employee Count: 1,720

* R&D Intensity: 20-25% of revenue invested in R&D

* Global Patent Portfolio: 124 patents across 25 families

DataRobot (Automated Machine Learning) maintains a recognized leadership position in the Automated Machine Learning and enterprise AI platform market. Its unified platform addresses the full AI lifecycle, integrating predictive AI, generative AI, governance, and agentic capabilities. The company’s flexible dual deployment model, offering both cloud-hosted SaaS and self-managed on-premises... Sign in / Sign up to learn more about DataRobot, Inc.

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Start your analysis with these investor-focused questions:

• How is DataRobot defending its premium market positioning and justifying its higher total cost of ownership against the aggressively priced, consumption-based models offered by major cloud hyperscalers like AWS and Google in FY2025?
• Given the aggressive R&D investment of approximately 20-25% of revenue, how successfully is DataRobot monetizing its strategic transition from traditional AutoML predictive modeling to a comprehensive Generative AI and agentic workflow orchestrator during FY2025?
• With the broader tech market experiencing valuation compression since previous funding peaks, what strategic levers is DataRobot pulling in FY2025 to optimize its unit economics and position itself favorably for potential future liquidity events?
• Considering that highly regulated sectors like Financial Services and Healthcare comprise over half of DataRobot's customer base, how is DataRobot leveraging its model explainability and MLOps capabilities to capture market share driven by stringent compliance mandates like the EU AI Act in FY2025?
• As enterprise AI workloads become increasingly compute-intensive due to Large Language Models, how is DataRobot balancing its traditional recurring SaaS subscription model with new consumption-based pricing elements to protect its gross margins throughout FY2025?