Case Study: Figure Eight improves fraud detection and cuts operational costs with Squadex’s machine learning platform

A Squadex Case Study

Preview of the Figure Eight Case Study

Figure Eight (former CrowdFlower) takes control over scammers with a scalable, Machine Learning-based fraud detection platform

Figure Eight, a data mining and crowdsourcing platform, faced the operational challenge of managing thousands of distributed crowd workers who label data for machine learning. Their manual process for detecting fraudulent workers was slow and not scalable. They engaged Squadex to build an automated, machine learning-based fraud detection platform to solve this problem.

Squadex developed a scalable SaaS solution from the ground up, implementing ML algorithms to analyze worker behavior and assign a fraud probability score. The result was a powerful platform that allowed Figure Eight’s quality assurance team to efficiently identify and weed out scammers. This significantly increased worker productivity, improved the quality of machine learning training data, and substantially cut operational costs for the customer.


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