Case Study: Verisoul achieves 4x more accurate fake account detection with Chalk

Verisoul stops fake accounts with Chalk’s real‑time feature platform

Verisoul, a company specializing in fake account detection, faced significant challenges with data staleness, slow model iteration, and a lack of auditability in their fraud prevention system. This hindered their speed and accuracy in combating evolving threats like bot-driven account creation and synthetic identities. They turned to Chalk’s real-time feature platform to address these issues.

By implementing Chalk, Verisoul gained the ability to process fresh, inference-time data, which improved their fraud detection accuracy by 4x. The platform also enabled them to ship detection updates 10x faster and provided full auditability for every decision. This solution allowed Verisoul to enhance their engineering efficiency, maintain transparency for customers, and stop fake accounts at scale with greater speed and precision.

Verisoul

Niel Ketkar

Co-Founder