DataRobot

Machine Learning & Artificial Intelligence

DataRobot was founded in 2012 by Jeremy Achin and Tom DeGodoy, both highly ranked data scientists who previously managed analytics at Travelers Insurance.

Reviewed by 7wData
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Enterprise AI platform for building, operating, and governing automated machine learning and agentic AI applications at scale.

DataRobot was founded in 2012 by Jeremy Achin and Tom DeGodoy, both highly ranked data scientists who previously managed analytics at Travelers Insurance. The pair built the company around a core insight: the shortage of skilled data scientists created a bottleneck for enterprises trying to operationalize machine learning. The platform originally focused on AutoML—automating model development so enterprises could democratize data science across the business.\n\nThe company has grown into a diversified AI platform serving more than 850 enterprise customers, including roughly one-third of the Fortune 50.

In 2024, DataRobot reported $285 million in annual recurring revenue, though the business has faced headwinds: a 26% workforce reduction in 2023 and a 7% layoff in 2024. The valuation declined sharply, from $6.3 billion in July 2021 to approximately $500 million in early 2025, a sign of investor skepticism amid execution challenges.\n\nCEO Debanjan Saha, appointed permanently in July 2022 after serving as COO, has repositioned DataRobot away from pure AutoML toward a broader enterprise AI platform anchored in agentic AI—autonomous agents that can operate semi-independently in business workflows. The company acquired Agnostiq (February 2025) to add compute orchestration and open-source tooling, and announced a co-engineered Agent Workforce Platform with NVIDIA (July 2025) for managing agent deployment at scale.

Announced partnerships with SAP for finance and supply-chain applications (March 2025) and a federal AI application suite (May 2025) signal a pivot toward industry-specific solutions.\n\nNotably, the company missed the IPO window it was targeting in 2021 when markets were favorable, and no public offering is currently planned. Employee sentiment has deteriorated over the turbulent period, with Glassdoor reviews averaging 3.5/5 and citing layoff fatigue and unclear strategic direction. Yet DataRobot remains positioned as a leader in the 2025 Gartner Magic Quadrant for Data Science and Machine Learning Platforms, signaling sustained product credibility despite organizational turmoil.

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Who buys this

  • Financial services firms using predictive analytics for credit risk, fraud detection, and regulatory compliance
  • Healthcare organizations building models for patient outcomes, readmission risk, and clinical decision support
  • Manufacturing and energy companies deploying predictive maintenance and demand forecasting
  • Government and public sector agencies building AI applications for efficiency and policy optimization
  • Large enterprises with 500+ employees managing cross-functional ML pipelines and governance requirements

Strengths and what to watch

Strengths

  • Retained enterprise footprint of 850+ customers including approximately one-third of Fortune 50 despite market turbulence
  • Sustained $285M ARR in 2024 with demonstrated ability to penetrate deeply into financial services, healthcare, and government verticals
  • Positioned as Gartner Magic Quadrant Leader for Data Science and ML Platforms (2025) and co-engineering strategic partnerships with NVIDIA, SAP, and AWS Federal

Watch for

  • Valuation crater from $6.3B (July 2021) to ~$500M (Q1 2025) reflects investor confidence erosion; no IPO path visible despite earlier preparation for public markets in 2021
  • Repeated organizational turbulence: 26% layoff in 2023, 7% in 2024, multiple C-suite departures, and Glassdoor sentiment declining to 3.5/5 with employee commentary on unclear direction and layoff fatigue
  • Strategic pivot from AutoML to agentic AI and industry-specific suites (SAP, Federal) may signal either viable market repositioning or unfocused search for growth amid slowing core business

Recent moves

Key Information

Industry
Machine Learning & Artificial Intelligence
Founded
2012
Headquarters
United States

Frequently Asked Questions

What is DataRobot?

DataRobot is an enterprise AI platform for building, operating, and governing automated machine learning and agentic AI applications at scale. Founded in 2012 by Jeremy Achin and Tom DeGodoy, it democratizes data science through automation, allowing enterprises to operationalize machine learning across their business without requiring extensive data scientist teams.

Who uses DataRobot?

DataRobot serves 850+ enterprise customers, including roughly one-third of the Fortune 50. Its client base spans financial services for credit risk and fraud detection, healthcare for patient outcomes, manufacturing for predictive maintenance, government agencies, and large enterprises managing complex machine learning pipelines and governance requirements.

Has DataRobot changed its strategy?

DataRobot pivoted from pure AutoML toward enterprise agentic AI—autonomous agents operating semi-independently in business workflows. Under CEO Debanjan Saha, the company shifted its focus to autonomous agents and industry-specific solutions, partnering with NVIDIA and SAP. It acquired Agnostiq in February 2025 to enhance orchestration and open-source tooling capabilities.

Is DataRobot still a leader in the market?

DataRobot remains positioned as a leader in the 2025 Gartner Magic Quadrant for Data Science and Machine Learning Platforms, signaling sustained product credibility despite recent challenges. The company serves 850+ enterprise customers, including approximately one-third of the Fortune 50, and reported $285 million in annual recurring revenue during 2024.

What are DataRobot's financial challenges?

DataRobot's valuation declined sharply from $6.3 billion in July 2021 to approximately $500 million in early 2025, reflecting investor skepticism. The company underwent significant workforce reductions: 26% layoffs in 2023 and 7% in 2024. Employee sentiment has deteriorated, with Glassdoor reviews averaging 3.5/5 citing layoff fatigue and unclear direction.

Did DataRobot go public?

No. DataRobot missed its IPO window in 2021 when markets were favorable, and no offering is currently planned. The valuation declined from $6.3 billion to approximately $500 million, reflecting investor skepticism and execution challenges. The company remains privately held with no visible path to public markets despite earlier IPO preparation.

How DataRobot compares

Direct head-to-head against 3 competitors. Picked by 7wData.

This company

DataRobot

Positioning
Enterprise AI platform for building, operating, and governing automated machine learning and agentic AI applications at scale.
Customer segments
Financial services firms using predictive analytics for credit risk, fraud detection, and regulatory compliance
Strengths
Retained enterprise footprint of 850+ customers including approximately one-third of Fortune 50 despite market turbulence
Watch for
Valuation crater from $6.3B (July 2021) to ~$500M (Q1 2025) reflects investor confidence erosion; no IPO path visible despite earlier preparation for public markets in 2021
Recent moves
DataRobot named Leader in 2025 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

Dataiku

Positioning
Enterprise-wide AI platform competing on governance depth and multi-persona tooling for Fortune 500 organizations.
Customer segments
Global 2000 enterprises in financial services, manufacturing, and retail. Buyer is VP of Data or Chief Data Officer overseeing centralized AI programs.
Strengths
Centralized AI governance across multi-cloud deployments, recognized in IDC MarketScape for Unified AI Governance Platforms (December 2025).
Watch for
IPO banker engagement announced October 2025 creates leadership distraction and potential pricing shifts during the offering window.
Recent moves
October 2025: Dataiku engaged Morgan Stanley and Citigroup to prepare for a potential IPO, last valued at $3.7B.

H2O.ai

Positioning
Open-source-rooted AutoML platform competing on sovereign, air-gapped deployment and lower total cost versus DataRobot's managed enterprise approach.
Customer segments
Financial services, telecom, healthcare, and public sector enterprises. Buyers are data science leads and IT security officers at regulated mid-to-large organizations.
Strengths
Automated feature engineering in Driverless AI with documented accuracy gains, plus air-gapped deployment meeting SOC2 Type 2 and HIPAA requirements.
Watch for
January 2025 security breach exposed internal sales and contract documents, raising procurement due-diligence questions for evaluating teams.
Recent moves
May 2025: FedRAMP In Process designation at High Impact Level achieved, opening federal agency procurement channels.

Domino Data Lab

Positioning
MLOps-first platform for regulated enterprises running model development, deployment, and governance in a single controlled environment.
Customer segments
Fortune 100 enterprises in life sciences, financial services, and public sector. Buyer is VP of Data Science at 5,000-plus employee firms.
Strengths
End-to-end MLOps governance with reproducibility and audit trails, backed by ISO 27001, SOC2, and HIPAA certifications for regulated industries.
Watch for
Mindshare declined to 2.5% in Data Science Platforms (December 2025), and repeated workforce reductions since 2022 signal ongoing financial pressure.
Recent moves
August 2025: UBS made a strategic equity investment in Domino and a UBS representative joined the board as observer.

Sources

  1. www.datarobot.com — CEO Debanjan Saha background and executive leadership team composition
  2. getlatka.com — 2024 revenue ($285M), ARR ($225M), customer count (850), and historical valuation ($6.3B)
  3. www.datarobot.com — February 2025 Agnostiq acquisition details and strategic rationale
  4. www.glassdoor.com — Employee sentiment, Glassdoor rating, and internal challenges including layoff history
  5. www.theinformation.com — Historical layoffs (26% in 2023, 7% in 2024) and valuation decline to ~$500M
  6. www.businesswire.com — 2025 Gartner Magic Quadrant Leader designation