Proctorly provides an online exam proctoring platform that operates effectively even when traditional lockdown browsers are bypassed. By combining AI‑driven eye‑tracking with comprehensive screen and environment monitoring, it detects cheating behaviors that webcams and standard tools miss, eliminating guesswork for educators. The service delivers high‑integrity supervision at a fraction of the cost of live proctors, helping schools maintain fairness in remote testing.
Funding
Funding not disclosed
Founders
Product
Problem
Remote exam platforms that rely on lockdown browsers and webcam monitoring are vulnerable to cheating through hidden devices, off‑camera notes, and software that bypasses screen restrictions, leading to compromised test integrity.
Solution
Proctorly provides an online proctoring service that supplements traditional lockdown tools with advanced eye‑tracking technology. By continuously monitoring a test‑taker’s gaze, the system detects when attention shifts away from the screen or toward unauthorized objects, even if the webcam’s field of view is limited. Detected anomalies are flagged in real time, allowing educators to review potential cheating incidents without the need for live human proctors. The platform is delivered as a software integration that works alongside existing exam environments, offering a cost‑effective alternative to fully staffed remote proctoring while maintaining high‑integrity assessment results.
Target Audience
Primary customers are K‑12 schools, higher‑education institutions, and certification bodies that administer remote examinations and need reliable integrity assurance without the expense of live proctors.
Features
- Real‑time eye‑tracking analysis that identifies gaze deviations indicative of cheating attempts
- Automated detection of hidden devices or off‑screen activity that bypasses lockdown browsers
- Integration with existing exam platforms via API, requiring no additional hardware beyond a standard webcam
- Post‑exam reporting dashboard that highlights flagged events with timestamps and visual evidence
- Scalable cloud‑based processing to support large testing cohorts without live proctor staffing