Funding Received
$23.6 Million in 3 Rounds from 16 Investors
Most Recent Funding
$18 Million Series B on May 14, 2014
June, 2011
San Francisco, CA
Sift Science offers large-scale machine-learning technology services that help e-commerce businesses detect and fight fraud.
Big Data, Fraud Detection, Machine Learning, E-Commerce, Security

Detailed Description


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.

Current Team (2)


Investors (4)

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    First Round

    First Round is a venture capital firm that specializes in providing seed-stage funding to...
  • Fneneuidjfbq1ir7luwc

    Max Levchin

    Founder/CEO @ Affirm
  • Vt0qjg347v6gall2hmeb

    Union Square Ventures

    USV invests in large networks of engaged users, differentiated through user experience, and...
  • 602ada448a00013ff42b2a55ac280e80

    Spark Capital

    Spark Capital is a bi-coastal boutique venture firm. They partner with bold entrepreneurs...

Offices/Locations (1)

  • Office

    San Francisco, CA


Images (1)

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