Company Growth (employees)
Sift Science was founded in 2011 and is headquartered in San Francisco, US
Key People at Sift Science
Jason Tan
CEO
Fred Sadaghiani
CTO
Karen Tsay
Head of Business Operations
Bill Hodak
Head of Marketing
Thomas Schiavone
Head of Product
Zeeshan Yoonas
Head of Sales
Toshinari Kureha
Head of Engineering
Liz Young
Director of People Operations
Sift Science Office Locations
Sift Science has an office in San Francisco
San Francisco, US (HQ)
123 Mission St
Sift Science Data and Metrics
Summary Metrics
Founding Date | 2011 |
Total Funding | $53.6 m |
Latest funding size | $30 m |
Time since last funding | about 1 year |
Investors | Alex Rampell, Kevin Scott, Alexis Ohanian, Lee Linden, First Round Capital, Chris Dixon, Rich Barton, Marc Benioff, Max Levchin, Insight Venture Partners, Spark Capital, Harjeet Taggar, SV Angel, Founder Collective, Union Square Ventures, First Round, Y Combinator, Garry Tan |
Sift Science's latest funding round in July 2016 was reported to be $30 m. In total, Sift Science has raised $53.6 m
Market Position of Sift Science
Traffic Overview of Sift Science
Sift Science Online and Social Media Presence
Sift Science News and Updates
April 24, 2017
113 enterprise AI companies you should know
GUEST: Enterprise companies comprise a $3.4 trillion market worldwide of which an increasingly larger share is being allocated to artificial intelligence technologies. By our definition, “enterprise” technology companies create tools for workplace roles and functions that a large number of businesse…
March 28, 2017
The AI In Fintech Market Map: 100+ Companies Using AI Algorithms To Improve The Fin Services Industry
Check out even more content at Future of Fintech 2017. Use code “FoFInsights” to get $1000 off your ticket. Funding to AI startups reached record highs in 2016 and applications for artificial intelligence technologies exist across nearly the entire spectrum … Continued
March 28, 2017
5 Startups Using Machine Learning And Behavioral Biometrics To Fight Fraud
Machine learning and behavioral biometrics are emerging as powerful tools to fight fraud in online transactions. These tools are helping organizations from banks to e-commerce platforms get better at hunting down those who seek to benefit from faking their identity … Continued
November 02, 2016
Cybersecurity’s Next Step: Artificial Intelligence Is Helping Predict, Prevent, And Defeat Attacks
Cybersecurity companies are increasingly looking to artificial intelligence tech to improve defense systems and create the next generation of cyber protection. Two developments are driving this trend: First, the demand for cybersecurity professionals is outstripping the supply of qualified personnel…
October 28, 2016
Investors Pull Back On Dollars To Identity And Access Management Startups
Cybersecurity companies that offer Identity and Access Management (IAM) solutions have raised $362M across 34 deals year-to-date (10/18/2016). Those numbers are well off the peak in dollars and deals that these companies witnessed in 2014. The trend in IAM funding … Continued
October 19, 2016
Internal expense fraud is next on machine learning’s list
We know machine learning is already proving its worth in the financial services sector, so there’s no reason why it can’t lend a hand to enterprise technology. And more specifically, the process that time forgot — the tedious expenses process. Read More