Sift Science

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. With simple APIs that take minutes to integrate, an online business can leverage the latest in large-scale machine learning to protect themselves from fraud. Chargebacks, spammers, account takeovers, etc. Online businesses send Sift Science user events, which are mined for identity, behavioral, and network patterns that correspond to past fraud. Sift Science also pools fraud patterns across its network of customers. The network strengthens as more data streams in. Customers can also "train their own model" and tailor their results via a simple interface.
Type
Private
HQ
San Francisco, US
Founded
2011
Employees
71 (est)+5%

Key People at Sift Science

Jason Tan

Jason Tan

CEO
Fred Sadaghiani

Fred Sadaghiani

CTO
Zeeshan Yoonas

Zeeshan Yoonas

Head of Sales

Sift Science Locations

San Francisco, US

Sift Science Metrics

Sift Science Summary

Founding Date

2011

Total Funding

$23.6 M

Latest funding size

$18 M

Time since last funding

over 2 years

Investors

Sift Science Online Presence

Sift Science News

Sift Science Company Life

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