AI Proctor by Qlay
Qlay · Other
AI Proctor by Qlay is a remote proctoring system for online tests and interviews. Think of it as AI proctoring software that watches a session through one or more cameras. It flags AI-assisted cheating by reading eye movement tracking, speech patterns, and behavior as the test or interview runs. Schools, hiring teams, and certification bodies use it when a human proctor can't sit through every session.
About AI Proctor by Qlay
What Is AI Proctor by Qlay
AI Proctor by Qlay is online exam monitoring that runs without a person watching a live feed the whole time. It analyzes a candidate's eye movements, speech patterns, and video from multiple cameras to catch signs of AI-assisted cheating. That matters because the cheating tools candidates use today are hard to spot. An AI app can whisper answers through a hidden earpiece or feed text onto a second screen. A proctor checking one webcam feed will miss it.
The appeal is scale. A human proctor handles one or a few sessions at once. AI Proctor runs across many at the same time, then hands reviewers a flagged set of moments to check. The tradeoff? Automated detection isn't perfect. Pattern-based systems sometimes raise false positives. So a flagged session usually needs a human to confirm what actually happened before anyone acts on it.
You won't find an open price list or a self-serve signup here. The product sits behind a login at app.qlay.ai, which points to a business-facing setup where institutions arrange access directly. If you're evaluating it, expect to talk to the vendor rather than click "start free trial."
Getting Started
- Set up an account through Qlay and get access to the proctoring dashboard.
- Create a session for the exam or interview you want monitored, and set your monitoring rules.
- Share the session link or code with the candidate so they can join.
- Have the candidate grant camera and microphone permissions and run the pre-session checks.
- Review the session report afterward, with AI-flagged moments highlighted for your team to confirm.
Product Information
A quick look at AI Proctor by Qlay's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Universities and schools running online exams
- Recruiting and HR teams screening candidates
- Certification and licensing bodies
Tasks
- Catching AI-assisted cheating in real time
- Monitoring with more than one camera
- Building a reviewable record of each session
Scenarios
- High-stakes remote exams where impersonation or off-screen help is a real risk
- Live remote job interviews with candidates you can't meet in person
- Paper-based exams run on site
Key features
Eye Movement Analysis
The system tracks where a candidate looks across the session. This eye movement tracking catches frequent glances away from the screen, or a gaze pattern that doesn't match normal test-taking. Those moments get flagged for review. It's built for one specific case: someone reading answers from a second device off to the side.
Speech Pattern Detection
AI Proctor listens for how a candidate talks, not just what they say. Unusual pauses, a second voice in the room, or speech timed oddly against the questions can point to someone feeding answers through an earpiece. Why does that matter? A hidden helper leaves traces in timing, even when the answers sound fine. These signals land in the session report as flagged moments.
Multi-Camera Monitoring
Sessions can run across more than one camera, so a single webcam isn't your only view. Extra angles cover what a front-facing lens can't see, such as a phone propped just out of frame or a second screen placed off to the side of the desk. That broader coverage is the main defense against off-screen help.
AI-Assisted Cheating Detection
The core job is spotting when a candidate leans on an AI tool mid-session. The system watches for the combined signatures of that behavior, then surfaces them so a human can check. It's aimed at a problem that has gotten much harder as these tools have spread, because a candidate can now get live answers from an app the interviewer never sees.
Session Reports for Reviewers
After a session, reviewers get a summary with the flagged moments pulled out. That means a proctor doesn't have to rewatch an entire hour of footage just to find the two minutes that actually matter for the decision. The report also gives you a record you can point to if a candidate challenges the outcome.
Interview Monitoring
AI Proctor isn't only for exams. It applies the same monitoring to live interviews, which is useful when a candidate answers fluently but you suspect a hidden tool is doing the work. The flagged moments give a hiring team a concrete basis for a second look.
Pros and cons
Pros
- Runs across many sessions at once, so a small team can cover a large exam or interview window.
- Combines eye, speech, and multi-camera signals into one view. That catches things a webcam-only setup misses.
- Produces a reviewable report with flagged moments highlighted, saving reviewers from full rewatches.
- Works for both exams and interviews, so one system covers two common use cases.
Cons
- No public pricing or self-serve signup, so you have to contact the vendor and wait to learn the cost.
- Automated detection can raise false positives, meaning flagged sessions still need a human to confirm before you act.
- Details like exact integrations and API access aren't published, which makes it hard to judge fit before a sales conversation.
Frequently asked questions
It monitors online exams and interviews with AI, watching eye movements, speech, and multiple camera feeds to flag AI-assisted cheating. Reviewers then confirm those flagged moments. They don't watch every session live.
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