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Qlay

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

Introduction

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 candidate’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 candidate’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

  1. What is Qlay?
  2. Who is Qlay designed for?
  3. How does Qlay detect cheating?
  4. Does Qlay work for both interviews and exams?
  5. What do candidates need to use Qlay?
  6. Will candidates be notified that they are being monitored?
  7. What kind of reports does Qlay provide?
  8. How is Qlay priced?

Decision Card

Quick Verdict

Consider Qlay when your workflow matches AI Detector, AI Recruiting, AI Content Detector, AI Interview Assistant and you want to validate the fit before committing to a paid stack.

Best For

  • AI Detector
  • AI Recruiting
  • AI Content Detector
  • AI Interview Assistant

Not For

  • Highly regulated data without a privacy review
  • Workflows that require exact deterministic output

Best Uses

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

Pricing Snapshot

Check the current pricing page before buying because AI tool limits and plans change often.

If a free tier exists, use it to test output quality, export limits, and workflow fit first.

Pros

  • Clear task fit
  • Can reduce manual work
  • Good candidate for side-by-side testing

Cons

  • Pricing and limits may change
  • Output quality depends on prompts and source material
  • Commercial and privacy terms need review

Quick Start Prompt

I want to evaluate Qlay for this task: [describe your task]. Compare the free path, paid path, setup steps, expected output quality, privacy risks, and alternatives.

Information

  • Websiteqlay.ai
  • Published date2026/02/07

Categories

  • AI Detector
  • AI Recruiting
  • AI Content Detector
  • AI Interview Assistant

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