Five Years Running: Dataiku Named a Leader in the Gartner Magic Quadrant

Enterprise AI is moving into a new phase.

The first phase was about access. Companies needed access to better models, better data infrastructure, and better tools. That mattered, and it still does. But access alone is no longer enough.

The next phase is about making AI work inside the enterprise. Across teams. Across workflows. Across clouds, data platforms, models, agents, and governance requirements. The winners will be the companies that can turn AI from a collection of experiments into a measurable operating advantage.

That is the problem Dataiku has been focused on for years since we backed them at the Series A in 2016.

This week, 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 time the company has received this recognition. Learn more from Dataiku's announcement here.

We believe this recognition reflects something important about where the market is going.

For enterprises, AI success is not only a model problem. It is an organizational problem. The people who understand the business need to be able to shape how AI gets built and deployed. Data teams, business teams, analysts, and technical leaders need a shared environment. Governance cannot be bolted on after the fact. And as AI agents become more common, companies need visibility and control across an increasingly fragmented stack.

Dataiku's platform is built for that reality.

It gives enterprises a single environment to build, operate, and govern AI across the systems they already use. It helps teams move from isolated models and one-off experiments toward governed workflows, agents, and decision systems that can be trusted in production. That combination of accessibility, orchestration, and governance has become central to how large organizations think about AI at scale.

At FirstMark, we have always believed that enduring enterprise companies are built by solving hard, persistent problems. Dataiku is doing exactly that. The company's work sits at the intersection of technical depth and organizational adoption, which is where many of the most important enterprise software companies are formed.

AI will not become truly valuable inside large organizations because a single team runs a successful pilot. It will become valuable when many teams can use it responsibly, when workflows are connected, when outcomes can be measured, and when leaders can understand and manage the risk.

That is the divide Dataiku is helping enterprises cross.

Congratulations to Florian and the entire Dataiku team on this continued recognition. We are proud to support the company as it helps define what enterprise AI looks like in practice.