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. Online businesses send Sift Science user events, which are mined for identity, behavioral, and network patterns that correspond to past fraud. The Company also pools fraud patterns across its network of customers.
Type
Private
HQ
San Francisco, US
Founded
2011
Size (employees)
169 (est)+4%
Sift Science was founded in 2011 and is headquartered in San Francisco, US
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Key People/Management 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
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Sift Science Office Locations

Sift Science has offices in Seattle and San Francisco
San Francisco, US (HQ)
123 Mission St
Seattle, US
1601 5th Ave
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Sift Science Financials and Metrics

Summary Metrics

Sift Science's latest funding round in March 2018 was reported to be $53 m. In total, Sift Science has raised $106.6 m
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Sift Science News and Updates

Sift Science raises $53 million to grow its fraud prevention platform globally

Fraud detection startup Sift Science has raised $53 million in a series D round of funding led by Manhattan-based VC firm Stripes Group, with participation from existing investors including Union Square Ventures, Insight Venture Partners, and Spark Capital. This takes Sift Science’s total funding to…
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