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 (employees)
Type
Private
HQ
San Francisco, US
Founded
2011
Size (employees)
83 (est)+3%
Sift Science was founded in 2011 and is headquartered in San Francisco, US

Key People at Sift Science

Jason Tan

Jason Tan

CEO
Fred Sadaghiani

Fred Sadaghiani

CTO
Karen Tsay

Karen Tsay

Head of Business Operations
Bill Hodak

Bill Hodak

Head of Marketing
Thomas Schiavone

Thomas Schiavone

Head of Product
Zeeshan Yoonas

Zeeshan Yoonas

Head of Sales
Toshinari Kureha

Toshinari Kureha

Head of Engineering
Liz Young

Liz Young

Director of People Operations

Sift Science Office Locations

Sift Science has office in San Francisco
San Francisco, US

Sift Science Metrics

Sift Science Summary

We estimate that Sift Science's latest funding round in July 2016 was $30 m. In total, Sift Science has raised $53.6 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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