Sift Science, a San Francisco, California-based machine learning startup focused on digital fraud prevention, raised $18m in Series B funding.
The round was led by Spark Capital with participation from existing investors First Round Capital and Union Square Ventures.
The company intends to use the funds to grow the team (https://siftscience.com/jobs) and accelerate sales, marketing, and product development initiatives.
Led by Jason Tan, CEO, Sift Science provides an advanced fraud prevention platform which allows users to stop fraudsters, spammers, and scammers in real time with machine learning. Have a look at how it works here.