| What it does | Identify people by how they move using biomechanical AI, even when faces aren't visible
| Crowdsourced cybersecurity platform connecting organizations with ethical hackers to find and fix vulnerabilities
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| Stage | Not given
| Established
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| Founded | Not given
| 2012
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| Based in | IL
| US
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| Pricing model | Not given
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| Pricing | Not given
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| Key features | - Identify known people from video galleries or watchlists
- Determine if two videos show the same person
- Re-identify people within and across videos
- Works with low-resolution video and long distances
- Functions despite occlusions, masks and appearance changes
- Analyzes ground camera video feeds
- Does not rely on facial recognition
- Standalone deployment, integration, or OEM embedding options
| - Bug bounty program management
- Penetration testing as a service
- Vulnerability disclosure programs
- Red team services
- AI-powered security intelligence
- CrowdMatch researcher curation
- 24/7 response for critical issues
- Integration with security tools
- Triage and validation services
- Attack surface management
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| What makes it different | - Based on 20+ years of biomechanics research from Ben-Gurion University
- Requires only a few usable walking steps to create a biomechanical signature
- Works without facial recognition where other systems struggle
- Founded by researchers with 20+ years biomechanics expertise and successful startup founders
| - 7x more critical vulnerabilities found vs traditional testing
- 30% reduction in breach risk
- 268% return on investment
- Largest experienced triage team in the industry
- Only pay for results found
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 10 ▲ +3 (up) since last check | Not checked yet |
| Trust Flow (Majestic) | 6 | 45 |
| Citation Flow (Majestic) | 7 | 57 |
| Referring domains (Majestic) | 21 | 7070 |