Dataiku raises $100m for enterprise-grade AI tools

The 'unicorn' passed $1bn valuation at the end of 2019

Chuck Martin

August 26, 2020

2 Min Read

The 'unicorn' passed $1bn valuation at the end of 2019

Dataiku, an enterprise AI and machine learning platform developer, has raised an impressive $100 million in a Series D investment round.

The platform enables businesses to build their own AI-based tools and services, and is used in financial services, retail, pharmaceuticals, e-commerce, healthcare, transportation, the public sector, and manufacturing.

The data science startup, founded in 2013, previously raised $101 million in a Series C round in 2019, and $28 million in a Series B in 2017.

The round was led by Stripes, with major investment by Tiger Global Management and participation from existing investors CapitalG, Battery Ventures, Dawn Capital, FirstMark Capital, and ICONIQ.

Do it yourself

“Our leadership in enterprise AI continues to attract world-class investors who understand that Dataiku’s solution and customer base are global and that we’re positioned to help businesses realize the untapped potential for AI to transform the enterprise,” Florian Douetteau, co-founder and CEO of Dataiku, said.

“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.”

Dataiku customers include Schlumberger, GE Aviation, Sephora, Unilever, BNP Paribas, Premera Blue Cross, Kuka, and Santander.

Earlier this year the company launched Dataiku 7, which featured integration with Microsoft 365 services including Teams, OneDrive, and SharePoint, enabling professionals who use Teams to directly track and share changes made to their AI projects.

The startup has introduced other partnerships, including with Kayrros, a global platform for asset observation analytics, Snowflake, a cloud data platform, and Schlumberger, a maker of digital tools and solutions for enterprise AI technologies.

“The progression of AI in the enterprise has moved rapidly from experimentation to real-life implementations at scale in 2020,” commented Ron Shah, partner at Stripes.

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