French data science startup Dataiku raises $28M Series B led by Battery Ventures, plans to add connectors to deep learning frameworks to its platform
The data science software company has raised more than $45 million since its founding in 2014. — Dataiku has announced raising $28 million …
Context & Ripple Effects
In 2017, Dataiku's $100M Series D and eventual $400M round at a $4.6B valuation were still years out — this $28M Series B from Battery Ventures was the early bet on turning a French data science tool into an enterprise platform, with deep learning framework connectors as the stated expansion vector.
The raise lands in a category that kept escalating: rival DataRobot went on to a reported ~$200M Series E at a $1B+ valuation, and DotData raised $23M for automated data science tasks, making collaborative platforms like Dataiku part of a crowded, well-funded field.
First-order effects
- Dataiku gets the capital to build connectors to deep learning frameworks, extending its platform beyond the classical machine learning workflows it started with.
- Battery Ventures takes a lead position in an enterprise data science vendor with over $45M raised since its 2014 founding.
Second-order effects
- DataRobot's automation-first approach and DotData's task-automation tools force Dataiku to differentiate on breadth of framework support rather than ease of use alone.
- Enterprise buyers gain a genuine multi-vendor market for data science platforms, letting them weigh collaboration features against automated modeling when choosing.
Third-order effects
- If the funding pattern holds — as it did through Dataiku's later unicorn rounds — enterprise AI tooling consolidates around heavily capitalized platforms that keep absorbing new frameworks and workflow stages.
- The category's escalation pushes smaller entrants toward niches like lifecycle management, the lane Dataloop later took with its $11M Series A.
The trend: Enterprise data science platforms are riding a capital escalation curve in which each successive round funds broader framework coverage and wider workflow coverage against well-funded rivals.