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Feedzai Brings Automated Machine Learning to the Fraud Fight

Feedzai is deploying its AutoML machine learning technology to automate many of the most tedious and time-consuming processes for fraud-fighting data scientists. AutoML enables these professionals to create fraud prevention solutions 50x faster than they could using traditional data science workflows. This also gives data scientists more time to work on emergent and more complex fraud challenges.

“We’ve proven that Feedzai AutoML can get virtually the same results in a few hours, that would normally take a team of data scientists weeks to achieve,” co-founder and Chief Science Officer Pedro Bizarro said. “This is a ground-breaking advancement for Feedzai, but even more so, it’s something that will provide a substantial competitive advantage to our customers.”

Feedzai co-founder and CEO Nuno Sebastiaõ credited those customers as the inspiration behind Feedzai’s latest innovations. These include OpenML, a solution launched this spring that enabled data scientists to integrate open source third party tools to the Feedzai Risk engine.

“Our customers spoke, and we listened,” Sebastiaõ said. “AutoML and OpenML are the two latest examples of Feedzai’s dedication to bringing the market the best possible fraud prevention solutions. In the months to come, you can expect to see more and more of these kinds of innovations.”

Founded in 2008 and headquartered in San Mateo, California, Feedzai demonstrated its platform at FinovateEurope 2014. Last month, the company announced that it was partnering with Credorax to help the merchant acquisition specialist better protect its merchants against fraud. The company began the year with its first appearance on the Forbes Fintech 50 of top privately-owned fintechs.

Feedzai has raised more than $52 million in funding. The company’s investors include Data Collective, Sapphire Ventures, Citi Ventures, and Oak HC/FT.