Tuesday, June 15, 2021
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Dataiku Raises $100M In Series D Funding

Dataiku announced that it raised $100 million Series D funding for enhancing the platform to empower different data-driven firms to leverage data effectively. Lead by Stripes with Tiger Global Management and joined by existing investors Battery Ventures, CapitalG, Dawn Capital, FirstMark Capital, and ICONIQ. In December 2019, Dataiku was valued at $1.4 billion when Alphabet’s investment firm CapitalG poured money into the company.

In an attempt to democratize Enterprise AI, Dataiku is committed to explore new opportunities and include functionalities in its end-to-end data science platform. There is a sudden change in people behaviour, which has forced organizations to transform the delivery of services and products.

Also Read: Amazon Makes Its Machine Learning Course Free For All

Dataiku wants to capitalize on the opportunity by allowing companies to bring resilience in the difficult times caused by COVID-19 with its robust platform. The firm already enables users to collaborate for data science projects, code to click, model development, model prediction, and model deployment.

Founded in 2013, today, the company has more than 450 employees, 300 customers, and partners around the globe. Due to its feature-rich Dataiku platform, the company has quickly gained traction in the data science domain.

I suspect in ten years we won’t be using spreadsheets

Florian Douetteau, CEO of Dataiku

Currently, Dataiku’s significant competitors are Alteryx, Databricks, and more, which have made reasonable grounds in the self-service analytics domain. All these platforms, including Dataiku, are working towards democratizing data by allowing users to get insight into information without programming skills.

According to Dataiku, with this Series D funding, the company will continue to simplify its platform for organizations to have hundreds, thousands, or hundreds of thousands of machine learning models in production.

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Analytics Drift
Editorial team of Analytics Drift

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