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.

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POST /your-endpointevent: candidate.shortlistedrole: ICU Nurse, Austin TXscore: 4.6evidence: transcript, license_check

Priya S.Shortlisted · 4.6

The problem, and the fix.

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.

The solution

Pixel-Native reads what is on the candidate's screen, the way a reviewer would, instead of relying on browser extensions or the page code. Signs of outside help are flagged for your team to review.

How it works.

1
Captures what is on the candidate's screen during the assessment
Candidates work in their normal environment, with nothing to install.
2
Neural OCR identifies UI elements and behavioral patterns
The system reads what is on screen to recognize tools, code and behavior.
3
Intent recognition tracks reasoning and problem-solving approach
It follows how the candidate works through the problem, not just the final answer.
4
Anti-leak protection ensures assessment integrity
Signs of outside help are flagged for your team to review.

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What you get

Anti-leak protection against unauthorized assistance
Automated reasoning audit trails
Real-time intent tracking during assessments

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.

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Who it's for

Technical hiring teams running remote assessments
Teams worried about outside help in assessments
High-volume assessment programs
Engineering managers who want to see how candidates work

Use cases

Run coding assessments in a real environment
See how a candidate reached an answer
Flag signs of unauthorized assistance
Keep assessments trustworthy at scale

Benefits

Catch cheating without invasive software
Assess candidates in real-world coding environments
Capture authentic problem-solving behavior
Maintain assessment integrity at scale

Before and after.

Locked-down test tools

Sandboxes and extensions that candidates can still get around.

With Pixel-Native

Assessments in a natural environment, with the screen itself showing how candidates worked.

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?

Signs of outside help are flagged for your team to review.

What about candidate privacy?

Screen activity is captured only during the assessment, used to check session integrity, shown to your team for review and kept under the same retention and deletion rules as other candidate data. Only behavioral signals relevant to assessment are captured and analyzed.

See it on your roles. Shortlist in hours.