- Total Equity Funding
- $53.6M in 4 Rounds from 17 Investors
- Most Recent Funding
- $30M Series C on July 19, 2016
- San Francisco, CA
- Sift Science offers large-scale machine-learning technology services that help e-commerce businesses detect and fight fraud.
- Jason Tan, Brandon Ballinger
- Fraud Detection, E-Commerce, Security, Machine Learning, Big Data
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.
Funding Rounds (4) - $53.6MUpdate
Current Team (12)Update
|Jul 20, 2016||blog.siftscience.com - Press Release: Sift Science Raises $30M in New Funding, Releases Products to Fight New Types of Fraud and Abuse|
|Jul 19, 2016||TechCrunch - Sift Science raises $30 million to predict and prevent fraud everywhere online|
|Jul 19, 2016||Boston Tech Flash - Sift Science adds $30M in funding to combat online fraud|
|Jun 28, 2016||Business Wire - Survey Says 52 Percent Of Consumers Prefer Biometrics Over Passwords When Logging Into Online Accounts|
|Jun 8, 2016||PRWeb Sitemap - Dynamics Changing in Merchant Acquiring Market|
|May 10, 2016||Marketing Land - MarTech Landscape: What is machine learning and why should marketers care?|
|Dec 25, 2015||TechCrunch - Investing In Artificial Intelligence|
|Dec 4, 2015||Inc.com - How To Avoid Website Security Pains During The Holidays|
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San Francisco, CA