| What it does | Identify people by how they move using biomechanical AI, even when faces aren't visible
| The fix layer for the AI era
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| Stage | Not given
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| Founded | Not given
| 2023
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| Based in | IL
| US
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| Pricing model | Not given
| Free trial
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| Pricing | Not given
| Free beta tier available. Paid plans include Starter, Business, and Scale tiers with pricing based on scope of coverage, supported ecosystems, deployment requirements, and support level. Starter tier for proof-of-value pilots, Business for ongoing remediation, Scale for unlimited enterprise coverage
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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
| - Verified, backported patches for existing versions without upgrades
- Pre-CVE vulnerability fixing before public disclosure
- Container and Linux base image remediation
- AI coding agent integration via MCP server
- Integration with major vulnerability scanners
- Support for 8+ programming languages including Java, Python, JavaScript, C/C++, Go, PHP, C#, and Ruby
- 24/7 customer support with direct Slack/Teams channels
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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
| - Fixes vulnerabilities before CVEs are published and before vendors release fixed versions
- Human-reviewed and verified patches, not AI-generated code
- Minimal code changes averaging just 6.5 lines per patch
- No forced upgrades, migrations, or breaking changes to applications
- Patches for unfixable vulnerabilities in end-of-life systems
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 10 ▲ +3 (up) since last check | 50 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 6 | 13 |
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| Citation Flow (Majestic) | 7 | 35 |
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| Referring domains (Majestic) | 21 | 203 |
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MotionAnalytics
Seal Security