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Qlay

AI proctoring platform that detects cheating during remote interviews and online tests using multi-angle monitoring and behavioral signals.

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Product Overview

What is Qlay?

Qlay is a proctoring platform designed to protect the integrity of remote interviews, coding assessments, and online exams by detecting AI-assisted and other forms of cheating. It combines a dual-camera setup, browser and process monitoring, and behavioral analytics such as eye gaze and speech cadence to reveal when candidates rely on unauthorized tools or off-screen help. Qlay helps hiring teams, HR departments, and education providers ensure that assessment results reflect real skills and communication rather than scripted or generated answers.


Key Features

  • Dual-Camera Monitoring

    Turns the candidateโ€™s smartphone into a secondary side-angle camera, enabling detection of off-screen devices, notes, or helpers that a front-facing webcam alone would miss.

  • Eye Gaze & Speech Pattern Analysis

    Analyzes micro eye movements, focus, and speech cadence to identify unnatural reading patterns or teleprompter-style delivery that suggest scripted or machine-generated responses.

  • Tab, App, and Process Tracking

    Monitors tab switching, app changes, and suspicious processes on the candidateโ€™s machine to flag use of hidden overlays, coding assistants, and other unauthorized software.

  • Real-Time Alerts for Proctors

    Surfaces instant alerts when abnormal behavior or prohibited tools are detected, allowing interviewers and exam administrators to intervene during the session instead of discovering issues after the fact.

  • Session Recording & Proctoring Reports

    Generates detailed post-session reports with timelines, alerts, and recordings so teams can audit decisions, share evidence internally, and maintain a clear trail for hiring or grading outcomes.

  • Scalable Plans for Teams and Institutions

    Offers subscription tiers based on seats, monthly proctoring minutes, and number of proctoring types, making it suitable for startups, growing teams, and large organizations running high-volume assessments.


Use Cases

  • Technical and Engineering Interviews : Recruiters and hiring managers running remote technical interviews and coding challenges can verify that candidates are solving problems themselves instead of relying on hidden AI tools or remote collaborators.
  • Online Exams and Skill Assessments : Education providers, bootcamps, and certification programs can secure online exams with multi-angle monitoring and behavioral checks to reduce cheating and protect credential value.
  • High-Volume Remote Hiring Campaigns : Organizations conducting large-scale remote hiring can standardize integrity checks across many interviews, ensuring consistent, reliable signals without overloading interviewers.
  • Compliance- and Trust-Sensitive Roles : Companies hiring for roles in finance, healthcare, security, or other regulated domains can lower the risk of mis-hires by ensuring candidate authenticity during remote screenings.
  • Third-Party Assessment and Recruiting Platforms : Assessment vendors and recruiting agencies can embed Qlay into their workflows to offer clients credible, audit-ready evaluations that demonstrate how cheating risks were controlled.

FAQs

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Analytics of Qlay Website

Qlay Traffic & Rankings
3.63K
Monthly Visits
00:00:04
Avg. Visit Duration
-
Category Rank
0.4%
User Bounce Rate
Traffic Trends: Oct 2025 - Dec 2025
Top Regions of Qlay
  1. ๐Ÿ‡ป๐Ÿ‡ณ VN: 69.96%

  2. ๐Ÿ‡ฎ๐Ÿ‡ณ IN: 18.01%

  3. ๐Ÿ‡ฏ๐Ÿ‡ต JP: 12.01%

  4. Others: 0.01%