Dataiku has moved forward with plans for a U.S. IPO after securing $200 million in a Series F round led by Wellington Management. The New York-based AI data analytics startup reached a $3.7 billion valuation during that raise in December 2022. Founded in 2013, the company develops software tools that allow enterprises to build, test, and deploy AI and analytics applications across multiple industries. Its customer base now includes more than 700 organizations, positioning Dataiku as one of the most commercially entrenched private AI firms.
IPO preparation
The company recently held an internal meeting to begin IPO preparations with Morgan Stanley, Citigroup, and other banks. The listing could arrive as early as the first half of 2026, although details remain fluid. Representatives for both Dataiku and its banking partners have so far declined to comment on timing or market strategy.
Revenue growth
In January, Dataiku reported surpassing $300 million in annualized recurring revenue. This milestone places the company among the upper tier of late-stage enterprise software startups. The growth trajectory supports the decision to pursue a public listing, since consistent recurring revenue is often a key indicator for investor interest. Moreover, its scale positions it for potential inclusion in institutional portfolios soon after an IPO.
Customer traction
Dataiku’s software is used by clients such as Johnson & Johnson, Toyota, General Electric, and BNP Paribas. Its ability to support deployments in regulated sectors like healthcare and finance gives it commercial credibility that many AI startups lack. This enterprise trust, built over more than a decade, is likely to be a factor in how investors price its public offering.
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Funding history
The Series F round in late 2022 remains the company’s last private raise before its IPO preparations. Wellington Management led the $200 million round, with other institutional investors participating. That round validated Dataiku’s positioning in the global AI market during a period of restrained private funding, securing capital when many startups faced shrinking valuations.
Industry context
Investor interest in AI IPOs has grown, with Klarna and Figma also preparing listings that benefit from optimism around applied AI. According to Dealogic, 97 companies went public in Q3 2025, raising over $24 billion, the busiest quarter since late 2021. For comparison, Rick Perry’s Fermi AI startup debuted at a $15 billion valuation this week, showing that large AI-driven offerings continue to find strong demand.
Strategic significance
Dataiku’s IPO plans indicate that late-stage AI companies are reaching commercialization maturity at revenue levels attractive to public investors. Its $300 million recurring revenue base aligns with benchmarks that often precede profitability. Its diversified client portfolio suggests resilience against downturns in any single sector. The case to watch is whether Dataiku’s valuation premium translates to favorable pricing at IPO, which could influence how other AI analytics startups time their exits. If successful, this offering may accelerate competitive listings, particularly from firms positioned at the intersection of AI and enterprise software.
Reference
Wang, E. (2025, October 1). Exclusive: AI data analytics startup Dataiku picked banks for US IPO, sources say. Reuters. https://www.reuters.com/business/finance/ai-data-analytics-startup-dataiku-picked-banks-us-ipo-sources-say-2025-10-01/
