Pulse

Agentic models like OpenAI's GPT-5 can now pass most attention checks.
Pulse verifies real human presence instead.

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Cover Camera

Use your finger

Scanning

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Verified

Human Detected

The Existential Threat

Recent research demonstrates that autonomous synthetic respondents pose a critical risk to online survey research. They can:

⚠️ Pass attention checks with near-perfect accuracy
⚠️ Generate coherent, congenial response patterns
⚠️ Systematically perturb polling outcomes
⚠️ Avoid "gotcha" questions and traps

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Bot Defense System

The Solution

Pulse adds "proof of life" verification using a physical camera challenge that works on mobile and desktop computers. It creates a hardware interaction bottleneck that generative AI cannot yet bypass.

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Finger Check

Confirms a finger is obscuring the camera lens through spectral analysis of light.

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Hardware Interaction

Involves pressing and releasing finger to test reflexes and physics.

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Privacy First

No images are stored. The system does not capture faces or personal surroundings.

Two Verification Methods

Choose the approach that works best for your research context.

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Pulse Original

The classic finger-over-camera verification. Detects real human interaction through light spectrum analysis and physical camera obstruction.

Camera-based Universal

Rock Paper Scissors

A gamified verification combining drag-based movement analysis with hand gesture recognition. Makes verification engaging while maintaining security.

Gesture-based Gamified