Dataiku has been named a Leader in the 2026 Gartner Magic Quadrant for AI Platforms for Data Science and Machine Learning, marking the fifth consecutive year the company has received the recognition.
The latest recognition highlights Dataiku’s continued focus on helping organizations move beyond AI experimentation by enabling enterprises to build, deploy, and govern artificial intelligence at scale through a unified platform.
Dataiku provides organizations with a centralized environment where cross-functional teams can develop, operate, and manage AI across existing data platforms, cloud infrastructure, and enterprise applications. The platform aims to simplify AI adoption while ensuring governance, collaboration, and operational efficiency across the organization.
“The next divide in enterprise AI will be uncompromising: Some companies will turn AI into a measurable operating advantage, while others will be left behind with disconnected agents, rising risk, and no clear way to prove what is working,” said Florian Douetteau, co-founder and CEO of Dataiku.
“That divide will not be decided by model access. It will be decided by who has the greatest access, orchestration, and governance to make AI actually perform across the business. We believe this fifth consecutive recognition as a Leader reflects the confidence customers place in Dataiku to help them cross that divide,” he added.
According to the company, customer feedback has also reinforced its market position. Over the past year, Dataiku received an overall rating of 4.7 out of 5 on Gartner Peer Insights, with 98% of reviewers recommending the platform as of May 4, 2026. The company said it has consistently earned positive feedback for its customer support, particularly during onboarding and initial deployment.
Dataiku currently serves more than 750 enterprise organizations worldwide, including Roche, Johnson & Johnson, Michelin, and Standard Chartered.
The company has also expanded its platform with new capabilities designed to support enterprise AI deployment. These include Agent Management for governing AI agents across platforms, Cobuild for AI-assisted application development, and Reasoning Systems, which enables organizations to build governed decision intelligence workflows.
Dataiku said successful AI implementation depends not only on advanced models but also on enabling business users and technical teams to collaborate effectively. Its platform allows domain experts, analysts, data scientists, and AI teams to work together in building AI-powered workflows and decision systems grounded in real business processes.
The company also positions its platform as an orchestration layer that connects multiple cloud providers, data platforms, and AI technologies, allowing organizations to avoid vendor lock-in while maintaining flexibility as their AI environments evolve.
As AI adoption accelerates, governance has also become a key focus for enterprises. Dataiku integrates governance tools that help organizations monitor AI initiatives, enforce corporate and regulatory policies, manage risks, and maintain transparency across AI deployments.
By combining AI development, orchestration, and governance within a single platform, Dataiku aims to help organizations deploy AI responsibly while delivering measurable business outcomes across increasingly complex enterprise environments.
