Sift Science

Fight Fraud with Machine Learning


COMPANY SIZE Between 25 and 50

# OF ENGINEERS Between 10 and 25

FUNDING $10M - $25M

TAGS Big Data, Developer APIs, Developer Tools, E-Commerce, Machine Learning, SaaS, YC Summer 2011


What do we do?

Sift Science helps online businesses leverage large-scale, realtime machine learning to effectively fight fraud -- e.g. chargebacks, fake accounts, referral fraud, account takeovers.

Technical challenges

1) Building an online, large-scale machine learning system that can handle thousands of events per second (and growing)

2) Building a user interface that effectively connects human intelligence and machine intelligence

3) Evolving our system into a platform for predicting other behaviors

Why join us?

1) Kind and brilliant culture

2) Mission-focused company: making the Internet a better place

3) Interesting technical problems with meaningful business impact

Our Founders

Jason Tan


Fantasy football fanatic. Chess enthusiast. Hearthstone geek. Occasionally rhymes.

Our tech stack

  • React JS
  • HBase
  • Javascript
  • Amazon AWS
  • Hadoop
  • Java
  • Chef

Our investors

  • Spark Capital
  • Union Square Ventures
  • First Round Capital
  • SV Angel
  • Founder Collective
  • Max Levchin
  • Marc Benioff
  • Chris Dixon
  • Rich Barton
  • Alex Rampell