| What it does | Free security scanning for apps built with AI
| Identify people by how they move using biomechanical AI, even when faces aren't visible
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| Stage | MVP
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| Founded | Not given
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| Based in | SG
| IL
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| Pricing model | Free
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| Pricing | Free during early access, 5 scans a day
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| Key features | - 55 security checks for common AI-built app mistakes
- Package dependency vulnerability checking
- GitHub integration and ZIP upload
- AI tool fix prompts for Cursor and Claude Code
- File and line number location for each finding
- Plain language security explanations
- Report persistence and code deletion
- Coverage for JavaScript, TypeScript and Python
| - 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
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| What makes it different | - Deterministic checks that give the same results every time, not variable AI answers
- No AI reads your code during scanning
- Reports designed for people who built the app, not security engineers
- Free with nothing hidden during early access
- Transparent about scan limitations in every report
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ▲ +1 (up) since last check | 10 ▲ +3 (up) since last check |
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| Trust Flow (Majestic) | 6 | 6 |
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| Citation Flow (Majestic) | 25 | 7 |
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| Referring domains (Majestic) | 16 | 21 |
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Epherem
MotionAnalytics