| What it does | Identify people by how they move using biomechanical AI, even when faces aren't visible
| Autonomous security software for threat detection and emergency response
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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
| Contact for pricing
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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
| - Firearm and weapon detection in real time
- Facial recognition with watchlist matching
- Natural language investigative search across video footage
- Intelligent alert orchestration and routing
- Fire and smoke detection
- Multi-location centralized command center
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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
| - Works with existing camera infrastructure, no proprietary hardware required
- Modular agent architecture - start with one agent and scale
- Accessible to small businesses and communities, not just large enterprises
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 10 ▲ +3 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 6 | 0 |
| Citation Flow (Majestic) | 7 | 0 |
| Referring domains (Majestic) | 21 | 0 |