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Sift Science is an automated fraud detection platform to help e-commerce businesses from the fraud online transactions. Sift Science employs machine learning, device fingerprinting, email analysis techniques to learn and continuously adapt to fraud patterns in real time and sends a score to the customer.
Real-time fraud detection system for enterprises. It helps e-commerce businesses detect and fight fraud.
The company follows volume pricing business model. (Per monthly volume order has a different pricing.)
Hotel Tonight Inc.
Uber Technologies Inc. and Watsi.org and number of vertical markets including physical and digital e-commerce
travel and hospitality
communities and marketplaces
financial institutions and payment processors
SaaS companies and beyond.
Sift Science fights fraud with machine learning.Machine learning teaches a computer to mine data for statistical patterns, and continuously learn and adapt as new data streams in.
Jason Tan (CEO); Fred Sadaghiani (CTO)
The company is planning to use the funds to expand its global presence in the fraud detection and prevention market(March 2018).
SERIES A · $4 M · Mar 2013
SERIES B · $18 M · May 2014
SERIES C · $30 M · Jul 2016
SERIES D · $53 M · Mar 2018
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