The platform provides AI‑powered automated proctoring for remote examinations, using continuous facial (and optional voice) biometric verification, webcam video, screen capture, keystroke logging, and browser lockdown. Real‑time machine‑learning models detect anomalies such as multiple faces, off‑camera movement, and abnormal eye‑gaze, flagging events for optional human review and delivering analytics through an institution dashboard. It integrates via LTI/SCORM with major LMSs and runs on a secure, GDPR/FERPA‑compliant cloud infrastructure, enabling scalable 24/7 exam integrity for universities, K‑12 districts, certification bodies, and corporate training.
Funding
Funding not disclosed
Founders
Product
Problem
Educational institutions offering remote assessments lack scalable, cost‑effective mechanisms to verify test‑taker identity and prevent cheating, leading to compromised academic integrity and increased administrative overhead. Traditional in‑person proctoring cannot accommodate large, geographically dispersed student populations or 24/7 exam schedules.
Solution
The platform delivers an AI‑driven automated proctoring service that secures online examinations without human oversight. Biometric verification (facial recognition and optional voice authentication) confirms the test‑taker’s identity at entry and continuously during the session. Integrated webcam video, screen capture, keystroke logging, and browser lockdown create a multi‑layered monitoring environment. Real‑time machine‑learning models analyze eye movements, facial gestures, background activity, and input patterns to flag suspicious behavior. Flagged events are automatically logged and can be routed to optional human reviewers for secondary validation. All data are encrypted in transit and at rest, and detailed analytics are presented through an institution‑focused dashboard. The solution scales on cloud infrastructure, providing 24/7 availability for global learners and seamless integration with existing learning‑management systems.
Target Audience
Primary customers are higher‑education universities, K‑12 school districts, professional certification bodies, and corporate training programs that administer large‑scale remote examinations and require automated integrity assurance.
Features
- AI video analytics that detect multiple faces, off‑camera movement, and abnormal eye‑gaze patterns
- Continuous biometric authentication using facial recognition (and optional voice verification) at start and throughout the exam
- Screen recording, keystroke capture, and secure browser lockdown to prevent unauthorized resource access
- Real‑time anomaly detection engine with configurable sensitivity thresholds and automated flag generation
- Optional human‑in‑the‑loop review workflow for high‑risk incidents
- Institutional analytics dashboard offering per‑exam reports, trend visualizations, and compliance audit logs
- Standard LTI/SCORM APIs for integration with major LMS platforms (Canvas, Blackboard, Moodle, etc.)
- End‑to‑end encryption, role‑based access control, and GDPR/FERPA‑compliant data storage on a scalable cloud architecture