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DataRobot, Inc.: Business Overview, Financials & Competitive Analysis

DataRobot develops an enterprise artificial intelligence platform designed to automate, deploy, and govern machine learning models and autonomous agents, providing automated feature engineering, model blueprints, cros...

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7/ 10Strong

Cyborg Score thesis

Established leader in ML/AI platform automation with differentiated agentic AI capabilities, though valuation ($6.3B as of July...

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Industry Enterprise AI Platforms
5 named competitors
1 recent developments
11 analyst dimensions
Synthesized from analyst-debate stress-testing across 11 dimensions and hundreds of data points. Methodology →
Cyborg Score recalibrated: October 19, 2026
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DataRobot, Inc. Overview

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DataRobot develops an enterprise artificial intelligence platform designed to automate, deploy, and govern machine learning models and autonomous agents, providing automated feature engineering, model blueprints, cross-cloud data integration, performance monitoring, security controls, and compute orchestration across cloud, edge, and on-premises environments. The company operates as a provider of an agent workforce platform for enterprise artificial intelligence.

Strategic Profile

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DataRobot was named a Leader in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms in June 2026 for the third consecutive year. DataRobot acquired Agnostiq in February 2025 to enhance compute orchestration capabilities and enable enterprises to dynamically scale and manage AI workloads across hybrid, multi-cloud, and on-premises environments.

Competitive Landscape

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DataRobot's top competitors include Databricks, Oracle, and data.ai. DataRobot competes in the crowded enterprise AI and machine learning platform segment against specialized AutoML/MLOps providers, large cloud vendors offering native ML services (AWS SageMaker, Azure ML, Google Vertex AI), and emerging agentic AI platforms. Its differentiation rests on end-to-end automation, governance, and cross-cloud orchestration capabilities, though it faces intense competition from both established software giants and well-funded startups.

Industry Context

DataRobot, Inc. operates in Enterprise AI Platforms.

Key facts

Founded: 2012 · Headquarters: Boston, US · Employees: 867 · Revenue: Estimated $285M for 2024

What the AI analysts debated

AI-generated and not independently verified: selected findings from the multi-agent debate on DataRobot, Inc..

  • DataRobot's estimated 2024 revenue reached $285M, up from $226.1M in 2023, representing approximately 26% year-over-year growth and signaling sustained enterprise demand for its ML/AI platform.

Recent developments

Material events tracked by the AskCyborg corpus.

  • June 2026Named a Leader in Gartner Magic Quadrant for Data Science and Machine Learning Platforms for third consecutive year
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Named competitors

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Industry context

DataRobot, Inc. operates in Enterprise AI Platforms. See how the rest of the sector scores on the Cyborg framework.

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Frequently asked questions

What does DataRobot, Inc. do?+
DataRobot develops an enterprise artificial intelligence platform designed to automate, deploy, and govern machine learning models and autonomous agents, providing automated feature engineering, model blueprints, cros...
What is DataRobot, Inc.'s Cyborg Score?+
DataRobot, Inc. has a Cyborg Score of 7/10 (Strong). The score synthesizes business model, financials, leadership, competitive position, technology, marketing, and ESG dimensions across hundreds of data points.
Who are DataRobot, Inc.'s main competitors?+
Named competitors include Databricks, H2O.ai, Dataiku, Domino Data Lab. The full competitive landscape is in the AskCyborg report.
How can I get the full DataRobot, Inc. research report?+
Get the report plus analyst-debate audio at askcyborg.com -- no credit card required for preview access. Pro adds saved-company audio playlists and monitoring.
How current is the DataRobot, Inc. research?+
The Cyborg Score is recalibrated weekly. Recent developments are tracked continuously and surfaced in every report.

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