"New York-based AI and data analytics startup Dataiku is preparing for an IPO in the United States. According to insiders, the company has engaged investment banks, including Morgan Stanley and Citigroup, to steer the IPO process in the right direction, Reuters reports. Preparations were given the green light during an internal meeting on Wednesday, with a stock market listing possibly taking place as early as the first half of 2026."
"Dataiku's move comes at a time when the US IPO market is recovering. In the third quarter, 97 companies raised more than $24 billion, the busiest quarter since the end of 2021. Technology companies in particular are benefiting from the renewed interest, partly driven by the strong wave of investment in artificial intelligence. At the end of 2022, Dataiku raised another $200 million in a Series F round led by Wellington Management, bringing its valuation to $3.7 billion."
"According to earlier reports by Techzine, Dataiku is positioning itself emphatically as a player in generative AI. The company developed the RAFT Framework for Generative AI, a framework that assists organizations in addressing compliance, risk management, and ethical issues related to AI. It also introduced the Generative AI Use Case Collection, a bundle of sixteen blueprints that companies can use to develop practical applications of generative"
Dataiku has engaged investment banks Morgan Stanley and Citigroup as it prepares for a U.S. IPO, with preparations approved internally and a potential listing as early as the first half of 2026. The IPO timeline remains flexible and subject to change. The U.S. IPO market is recovering, with 97 companies raising over $24 billion in Q3, and technology firms benefiting from renewed AI-driven investment. Dataiku raised $200 million in a 2022 Series F that valued the company at $3.7 billion. The company provides AI and analytics software to over 700 customers and reported approximately $300 million in annual recurring revenue. Dataiku is positioning itself in generative AI with the RAFT Framework and a collection of sixteen generative AI use-case blueprints.
Read at Techzine Global
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