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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.
DataVisor
DataVisor builds an AI fraud and risk platform using patented unsupervised machine learning, device intelligence, and a decision engine to detect coordinated fraud across the customer lifecycle.
DataVisor builds fraud and risk technology around a specific technical claim: that unsupervised machine learning can surface sophisticated, coordinated fraud attacks without predefined rules or historical labels. The company's core engine, described as patented, operates on this principle and forms the analytical foundation of its platform.
Founded in 2013 by Yinglian Xie and Fang Yu, both Microsoft Research alumni, DataVisor combines that unsupervised ML engine with device intelligence and a decision engine in its DataVisor SaaS Fraud and Risk Platform. The platform is designed to cover the full customer lifecycle, from onboarding through transaction monitoring and anti-money laundering compliance. Technical work spans unsupervised machine learning, artificial intelligence, device intelligence, risk management, anti-money laundering, and decision engine technology.
The company reports protecting over 2 billion accounts globally and counts Fortune 500 firms among its customers. Its work is concentrated in financial services, fintech, e-commerce, and digital payments, with a global presence. DataVisor states a founding mission of restoring online trust, with continued emphasis on unsupervised machine learning research.
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