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Who is Domino?

Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

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Guides and reports

Domino Data Lab is a 3X Visionary

Recognized for the third consecutive year in the 2026 Gartner® Magic Quadrant™ for AI Platforms for Data Science and Machine Learning

Domino has been named a Visionary in the 2026 Gartner® Magic Quadrant™ for AI Platforms for Data Science and Machine Learning for the third year in a row! We believe this recognition reflects a fundamental shift in enterprise AI: organizations don’t just need better models. They need AI that reaches the business, governed from day one.

Gartner magic quadrant 2026

Read the report to find out more

Discover why Domino is recognized as a Visionary in the Gartner® Magic Quadrant™ and how leading enterprises are overcoming key AI challenges:

  • Managing increasing AI risk while accelerating innovation
  • Scaling AI into production without losing governance
  • Delivering mission-critical AI use cases with confidence

The platform to build, scale, and govern AI-powered applications

Build

Develop AI systems across the full spectrum from statistical models to agentic AI.

  • Any tool, language, or framework
  • Coding assistants as governed, first-class citizens
  • Reproducible, auditable development environments

Scale

Turn models into AI-powered applications that reach the business.

What customers are saying

Read Peer Insights User Reviews for Domino in the “Gartner® Peer Insights™ ‘Voice of the Customer’: Data Science and Machine Learning Platforms” report

I value that it is extensible, flexible, and easily integrated with other solutions. This positions us to move into the future without lock-in to specific application providers, allowing us to evolve from SAS to R to Python, and beyond.

Data & Analytics Manager

Healthcare and biotech industry

Read the full review

It allows data scientists to focus on what is important – data science.

Manager of IT services

Banking industry

Read the full review

Flexibility to connect to different data sources while keeping the data secure. Enable data scientists to focus on actual work instead of fighting tools to get onboarded. System of record and traceability data is great for MLOps.

Director of Data & Analytics

Banking industry

Read the full review
Swipe
  • Deploy in minutes with no rewrites or handoffs
  • Governed applications from day one
  • AI embedded directly into business workflows

Govern

Ensure trust, compliance, and control across the full lifecycle.

  • Policies enforced from design through runtime
  • Automatic reproducibility and auditability
  • Continuous governance aligned with evolving regulatory expectations (e.g., SR 26-2)

Notes and disclaimers

Gartner, Magic Quadrant, Peer Insights are trademarks of Gartner, Inc., and/or its affiliates. Gartner, Magic Quadrant for AI Platforms for Data Science and Machine Learning, Yogesh Bhatt, Afraz Jaffri, Diarmuid Curran, June 22, 2026.
Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Domino Data Lab.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.