DataVisor, founded in 2013 and established by Microsoft Research alumni, builds fraud and risk technology on unsupervised machine learning. The company's approach detects sophisticated, coordinated fraud attacks without relying on predefined rules or historical labels, and the firm describes its work as pioneering rather than incremental on rules-based systems. Technical domains include unsupervised machine learning, fraud detection, risk management, device intelligence, decision engine technology and anti-money laundering compliance.
The company's principal product, the DataVisor SaaS Fraud and Risk Platform, combines patented unsupervised machine learning with device intelligence and a decision engine. It covers the full customer lifecycle, from onboarding through transaction monitoring to anti-money laundering compliance. The platform is reported to protect over 2 billion accounts globally.
Customers include Fortune 500 companies across financial services, fintech, e-commerce and digital payments. The company operates with a global presence and states a mission focused on restoring online trust. Further information is available at https://datavisor.com/.
