The problem
Traditional assessment tools rely on sandboxed IDEs, browser extensions or DOM manipulation that candidates can bypass. Anti-cheating mechanisms are easily circumvented through developer tools, virtual machines or proxy assistance.
Pixel-Native Screen Perception
Non-invasive screen perception engine. Real-world skill evaluation with edge-native vision and intent recognition that watches the screen exactly as a human would.
POST /your-endpointevent: candidate.shortlistedrole: ICU Nurse, Austin TXscore: 4.6evidence: transcript, license_check
Priya S.Shortlisted · 4.6The problem, and the fix.
The solution
Pixel-Native OS does not read the DOM. It watches the screens literal pixels at 60fps, identifying elements exactly as a human recruiter would. This ensures anti-cheating mechanisms cannot be bypassed via developer tools or virtual machines.
How it works.
- 1
Edge-native vision captures screen at 60fps without SDK dependencies
- 2
Neural OCR identifies UI elements and behavioral patterns
- 3
Intent recognition tracks reasoning and problem-solving approach
- 4
Anti-leak protection ensures assessment integrity
Recording · 12:40
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Rubric 4.5Clarity 4.7Follow-up asked
What you get
- Zero-SDK perception for total browser autonomy
- Anti-leak protection against unauthorized assistance
- Automated reasoning audit trails
- Real-time intent tracking during assessments
- Hardware-level integrity verification
Fits your workflow.
Pixel-Native OS runs transparently during any technical assessment or interview. Candidates work in their natural environment while the system captures behavioral signals that indicate genuine skill versus external assistance.
GreenhouseLeverWorkdayBenefits
- Eliminate cheating without invasive software requirements
- Assess candidates in real-world coding environments
- Capture authentic problem-solving behavior
- Maintain assessment integrity at scale
See it in action.
Book a 20-minute walkthrough tailored to your hiring stack. We'll show you exactly how this capability fits your workflow.
Questions, answered
How does Pixel-Native work without SDK installation?
Pixel-Native uses edge-native vision to watch screen pixels directly, eliminating the need for browser extensions or SDK dependencies.
Can candidates cheat the system?
The pixel-level perception captures all screen activity exactly as it appears, making traditional bypass methods ineffective.
What about candidate privacy?
Processing happens at the edge with no data persistence. Only behavioral signals relevant to assessment are captured and analyzed.
See it on your roles. Shortlist in hours.
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- Live in 48 hours