| What it does | Identify people by how they move using biomechanical AI, even when faces aren't visible
| AI-powered brand protection against phishing, deepfakes, and impersonation with managed takedowns
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| Stage | Not given
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| Founded | Not given
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| Based in | IL
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| Pricing model | 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
| - Real-time threat detection across 1.5 billion URLs daily
- 24/7 managed security operations center for takedown coordination
- Approximately 15 minute median time to block threats
- Decoy technology to corrupt attacker data and expose infrastructure
- Coverage across web, social media, mobile apps, and dark web
- Campaign-level threat mapping and infrastructure tracking
- Less than 1% false positive rate
- Executive and employee impersonation monitoring
- Complete takedown documentation with screenshots and timestamps
- API, email, Slack, and Teams alert integration
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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
| - End-to-end managed service handles detection, validation, and takedown without requiring customer operational involvement
- AI trained on years of real phishing kits and attack data, not just surface indicators
- Decoy technology that corrupts stolen data and exposes attacker infrastructure for intelligence
- Detection of threats while attackers are still building infrastructure before victims are targeted
- Built on DARPA-funded research from Columbia University protecting DoD networks
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 10 ▲ +3 (up) since last check | 53 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 19 |
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| Citation Flow (Majestic) | 7 | 23 |
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| Referring domains (Majestic) | 21 | 358 |
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MotionAnalytics
Allure Security