A leading provider of fraud prevention and risk management solutions using real-time machine learning.
Founded in 2011, Sift Science was created to help mid-market and enterprise companies more effectively prevent fraud while simultaneously improving their digital consumer experience. While existing vendors in the industry relied on highly archaic and reactive rules-based solutions, Sift Science made an early commitment to leverage machine learning to proactively identify suspicious user behavior and flag bad actors and potentially fraudulent transactions in real time. Today, the company has grown to deliver a full suite of products to protect businesses from payment fraud, account takeover, fake accounts, and abusive user-generated content. Some of the largest digital companies in the world rely on the cloud-based Sift Science Digital Trust Platform for its constantly growing global network of fraud data and unique ability to detect and prevent bad actors with speed, scale and sophistication.
Stripes got to know CEO and Co-founder Jason Tan beginning in 2016, and over the course of the next two years, became increasingly impressed by the company’s rapid growth and commitment to product innovation. When Jason decided to raise a growth financing in 2018, Stripes was chosen due to our team’s past work at the intersection of software and data services and experience helping scale growth businesses with our recruiting and business development capabilities. We are thrilled to partner with the Sift Science team as they continue to help bring trust to the digital world.