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.
Company growth
San Francisco, US
Size (employees)
80 (est)+7%
Sift Science was founded in 2011 and is headquartered in San Francisco, US

Key People at Sift Science

Jason Tan

Jason Tan

Fred Sadaghiani

Fred Sadaghiani

Zeeshan Yoonas

Zeeshan Yoonas

Head of Sales

Sift Science Office Locations

Sift Science has office in San Francisco
San Francisco, US

Sift Science Metrics

Sift Science Summary

Founding Date


Total Funding

$23.6 M

Latest funding size

$18 M

Time since last funding

almost 3 years


We estimate that Sift Science's latest funding round in May 2014 was $18 M. In total, Sift Science has raised $23.6 M
We estimate that Sift Science's current employees are approximately 27% female and 73% male.

Sift Science Online Presence

Sift Science News

Sift Science Company Life

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