Case Study: Browsi achieves real-time anomaly detection and revenue protection with Anodot

Anodot Autonomous Analytics Enables Browsi to Keep Pace with Data

Browsi is a New York– and Tel Aviv–based adtech startup that uses AI to measure content engagement, optimize ad layouts and predict ad visibility for publishers including Hearst and Ynet. Facing roughly half a billion events a day, the company lacked real-time anomaly detection and often learned of technical or business issues a day or more later—delays that translated into lost revenue and a reactive, resource‑intensive posture.

By integrating Anodot’s autonomous analytics, Browsi now receives near‑real‑time, prioritized anomaly alerts and predictive simulations, cutting noise to about 10–20 meaningful alerts per day. The change moved the company from reactive to proactive monitoring, prevented costly downtime, improved data integrity and uptime (issues are resolved within minutes), and freed engineering and data teams to focus on product and growth.

Browsi

Allon Hammer

Data Scientist and Data Team Leader