Sift

Sift is a leading digital trust and safety company that provides an AI-powered fraud prevention platform. The firm's technology helps businesses across various industries to combat different types of fraud, including payment fraud, account takeover, and content abuse. By leveraging machine learning and a vast global data network, Sift offers real-time risk assessment and decisioning, enabling companies to secure customer journeys, reduce chargebacks, and foster fearless growth.

Founded in 2011, Sift, formerly known as Sift Science, has established itself as a pioneer in the digital trust and safety space. The company's platform is built on deep investments in machine learning and user-centric insights, processing over one trillion annual events from more than 34,000 sites and apps. This extensive data network allows Sift to continuously learn and adapt to evolving fraud patterns, providing precise and split-second accuracy at scale.

Sift serves over 700 global brands, including prominent names like DoorDash, Yelp, Poshmark, Swan Bitcoin, Harry's, and Patreon. These customers rely on Sift's platform to protect millions of dollars in revenue, enhance customer experiences, and turn fraud prevention into a measurable growth advantage. The company holds over 40 patents granted or allowed by the United States Patent and Trademark Office (USPTO), showcasing its continuous innovation in the field.

The leadership team at Sift includes Marc Friend as Chief Executive Officer, Raj Jain as Chief Product Officer, Johannes Hoech as Chief Marketing Officer, and Ada Johnson as Chief Financial Officer, among other experienced executives. Their collective expertise in technology, venture backing, and operational leadership drives Sift's mission to empower digital businesses globally. The company's solutions are tailored for industries such as digital commerce, internet & software, finance & fintech, online gambling, travel & transportation, and food & delivery, addressing critical fraud challenges like account creation fraud, money movement fraud, and chargeback fraud.