Enterprise AI and machine learning platform developer Dataiku has raised $100 million in a Series D round of financing, the company said Monday.
The funding round was led by Stripes, a growth equity and services company focused on startups in the software and consumer products industries. New investor Tiger Global Management was a major investor in the round, joined by existing investors Battery Ventures, CapitalG, Dawn Capital, FirstMark Capital and ICONIQ.
Dataiku’s stated goal since its 2013 launch is to move AI and machine learning beyond lab experiments into widespread use within data-driven businesses. The company’s Dataiku DSS (Data Science Studio) platform is used by data analysts and data scientists for a range of self-service machine learning, data science and data analytics tasks.
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“Our leadership in enterprise AI continues to attract world-class investors who understand that Dataiku’s solution and customer base are truly global and that we’re uniquely positioned to help businesses realize the untapped potential for AI to transform the enterprise,” said Florian Douetteau, co-founder and CEO of Dataiku, in a statement. “In a global business market rocked by the changes 2020 has brought, AI has proven to be a critical element of organizational success driving business growth in every major vertical market.”
The latest funding round puts New York-based Dataiku’s total financing at $246.8 million, according to the Crunchbase website. That included a $101 million Series C funding round in December 2018.
Dataiku works with technology partners such as Tableau Software and Microsoft, solution providers like Keyrus and Integra, analytics consulting firms such as Dynaxis and service providers like Wipro.
In June Dataiku struck an alliance with cloud data platform provider Snowflake to integrate Snowflake’s data query processing capabilities with Dataiku’s machine learning and model management tools.