Sift
Sift, founded in 2011 in San Francisco, is a fraud prevention platform applying machine learning to a data network of over one trillion annual events for real-time payment and account fraud detection.
Sift is a fraud prevention platform founded in 2011 and headquartered in San Francisco. Its core work sits at the intersection of machine learning and risk decisioning: models are applied to a global data network of over one trillion annual events to classify transactions and account activity in real time. The company's technical domains include fraud detection, payment fraud prevention, account takeover prevention, and real-time data analytics.
The Sift Platform is designed to produce split-second decisions at scale, identifying threats such as account takeover, payment fraud and first-party abuse while permitting legitimate customers to proceed. Sift states that it combines investment in machine learning with in-house fraud expertise, and reports that its customers include more than 700 global brands across e-commerce, marketplaces, food delivery, vehicle rental, online media and reviews, and creator platforms.
Operating globally from its San Francisco base, Sift positions its work around converting risk into revenue and allowing businesses to scale without reducing decision accuracy. The company reports that its platform has preserved millions of dollars in revenue for its customers.