Dataiku, a New York-based enterprise data science and machine learning platform company, announced that it has raised $101 million in Series C funding led by ICONIQ Capital. Alven Capital, Battery Ventures, Dawn Capital, and FirstMark Capital also participated in this round.
What does Dataiku do? Dataiku operates a collaborative platform that powers self-service analytics and the operationalization of machine learning models in production. Customers use Dataiku’s platform to build artificial intelligence to optimize marketing budgets, enable maintenance services, detect fraud, and anticipate market trends. These customers include General Electric, Sephora, Unilever, KUKA, FOX, and BNP Paribas.
“We’re very excited about what this latest funding round represents – it’s a confirmation of our vision to build and deliver the missing block for the modern enterprise: the platform where you build your own AI,” said Dataiku CEO Florian Douetteau. “We have always believed that all jobs are being reshaped by data and that this transformation is made possible through education, access, and collaboration. Dataiku will continue to enable all of these things.”
With this round of funding, Dataiku is going to accelerate the execution of large-scale data democratization within the enterprise. And the company is going to continue bringing stability, security, and reliability for companies that are trying to navigate their enterprise artificial intelligence journeys.
Dataiku is also planning to double its current staff of 200 employees among its headquarters in NYC and offices in Paris and London. And the company is going to open new offices in Sydney and Singapore. Plus the company is going to accelerate the addition of new product features and work to expand its network of technology partners.
“Dataiku solves a real and rapidly growing market need for businesses to extract measurable value out of massive and disparate streams of data,” added ICONIQ Capital Principal Adar Zango. “Importantly, the platform achieves this with a highly differentiated approach that democratizes data at scale and engages a variety of personalities in a collaborative fashion: data scientists, data engineers, data analysts and business analysts are able to work together on a single platform to quickly derive insights. Large and sophisticated users across all industries have emphasized the exceptional product and this uniquely collaborative approach and we are genuinely thrilled for the opportunity ahead.”