Nearly one third of college students drop out every year. According to Elvee's 2026 Higher Education Retention Report, 42% of students say they've felt close to leaving at some point. The drivers aren't just academic. It's burnout, financial pressure, mental health struggles, and trying to balance work with school.

In this episode of Machine Dreams, Raz Dar, CEO of Elvee, explains how AI can identify students at risk of dropping out before it happens. The system analyzes over 100 behavioral signals from learning management platforms like Canvas and Blackboard.

We also talk about how the same technology tracks employee burnout in contact centers, why Elvee avoids demographic data to prevent bias, and what happens when universities actually measure whether their interventions work.