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DataRobots

Last Updated July 29, 2025

DataRobot offers a machine learning platform designed to automate the process of building, deploying, and managing AI models. Its technology supports enterprise users across sectors such as finance, healthcare, and retail. With a global customer base, DataRobot is recognized for its contributions to applied artificial intelligence and automated analytics.
Company Overview: DataRobots
DataRobot develops a platform for automated machine learning and MLOps that helps organizations build, deploy, and manage predictive models. The software supports enterprise workflows across use cases such as forecasting, classification, and anomaly detection. DataRobot operates within the broader applied AI and analytics ecosystem serving regulated and non-regulated industries.
Investment Highlights

Valuation & Growth

  • Raised $300M in Series G (June 2021), achieving a valuation of ~$6.3B
  • Exit revenue around $285M in 2024, expecting continued year-over-year growth
  • The platform is trusted by over one-third of Fortune 50 companies

Funding History

  • Series G: $300M (June 2021) led by Altimeter Capital and Tiger Global
  • Series F: $270M (Nov 2020) + $50M (Dec 2020) including Snowflake Ventures
  • Series E: $206M (Sep 2019) with Sapphire Ventures and NEA
  • Earlier rounds dating back to 2013 with total capital raised exceeding $1B

Major Investors

  • Altimeter Capital, Tiger Global, New Enterprise Associates, Sapphire Ventures
  • Additional funding from T. Rowe Price, Silver Lake, BlackRock, ServiceNow Ventures, Sutter Hill Ventures, Intel Capital, Meritech, Cisco Ventures, B Capital, and more
Product & Technology Leadership

Core Products

  • DataRobot AI Platform: Automated ML platform enabling model building, deployment, and monitoring at scale
  • MLOps Tools (via Algorithmia): AI model lifecycle management for production deployment
  • AutoML accelerators: Pre-built scripts and pipelines tailored to industries and use cases
  • Governance and explainability features: Built-in model transparency, compliance logs, bias detection, and collaboration tools
 Market Position & Strategic Advantage

Global Impact & Clients

  • Trusted by ~850 clients in 2024, including nearly one-third of Fortune 50
  • Strong presence in banking, insurance, retail, manufacturing, healthcare, and government sectors

Competitive Moats

  • A complete AutoML platform vs. component providers or framework-level tools
  • Deep enterprise penetration and trust, with governance and explainability features built-in
  • Long-term backing from premier investors signaling confidence in tech and execution
  • Industry-leading integration and training support services
Financial Opportunity

Market Opportunity

  • Enterprises are prioritizing AI adoption; automated AI platforms are projected to represent a large share of AI enterprise budgets by 2030
  • AutoML platforms position DataRobot at the intersection of analytics, ML, and operations

Growth Drivers

  • Expansion in high-value regulated sectors such as finance, healthcare, government, and retail
  • Continued monetization of MLOps, monitoring, and automated governance modules
  • Growth via new AI application suites (e.g., DataRobot AI Applications targeting finance, supply chain, and federal use cases launched in 2025)

Revenue Streams

  • Multi-year SaaS subscriptions based on platform seats and compute usage
  • Add-on services through MLOps, monitoring, and agentic AI modules
  • Professional services for model training, integration, and enterprise deployment
Key Stats

Founded: 2012

Total Raised: ~$1.05 B over 12 rounds

Valuation: ~$6.3 B (Series G, June 2021)

2023 ARR: ~$225 M

2024 Revenue: ~$285 M

Customers: ~850 enterprise clients as of 2024

Employees: ~1,100+

Headquarters: Boston, MA, USA

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About DataRobots

Founded in 2012 by Jeremy Achin and Tom De Godoy, DataRobot is headquartered in Boston, Massachusetts. The company builds an end-to-end automated machine learning (AutoML) platform designed for enterprise users. Their platform covers the full spectrum of AI workflows—data preparation, feature engineering, model selection and training, deployment, and governance. Leveraging built-in accelerators, integrations, and MLOps tools like Algorithmia, DataRobot helps organizations deploy AI solutions faster, more reliably, and with operational oversight.