Hands Off vs PreemptiveAI
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Hands Off compared with PreemptiveAI
| Detail |
Hands Off |
PreemptiveAI |
| What it does | AI desktop app that detects and interrupts nail biting and other body-focused repetitive behaviors in real-time
| Measure physiology in 30 seconds from any smartphone using optical blood-flow signals
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| Stage | Not given
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| Founded | Not given
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| Based in | BE
| US
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| Pricing model | Freemium
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| Pricing | Free trial: 3 days. Paid plan: €2.99/month. Cancel anytime.
| Not given
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| Key features | - Real-time AI detection of nail biting, nose picking, ear picking, eyelash pulling, and eyebrow hair pulling through webcam
- Customizable visual overlay interventions that activate when behaviors are detected
- Local analytics and progress tracking with daily detection counts, streak length, and weekly trends
- Multiple intervention styles: full-screen overlay, full-screen without camera, or small notification popup
- Adjustable sensitivity levels from high to low for accurate detection
- No video recording or remote data collection; all processing happens locally on device
- Works on Mac and Windows desktop platforms
- Identifies high-risk periods and patterns to help maintain motivation
| - 30-second fingertip scan via smartphone camera
- Foundation model trained on 12M+ waveforms
- Works across 200+ smartphone camera modules
- Personal baseline calculation (You vs. You)
- Camera-native mobile SDK for iOS and Android
- High-dimensional physiological embeddings via API
- Hemodynamics and arterial compliance analysis
- Longitudinal baseline divergence detection
- FDA-cleared core technology
- HIPAA compliant and 21 CFR Part 11 architecture
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| What makes it different | - Real-time intervention at the exact moment habits begin, not after damage is done
- All processing stays on your device with no video data uploaded, fully GDPR compliant
- Distinguishes between normal activities and BFRB behaviors to avoid false positives
- Achieves 70-90% reduction in habit episodes within the first week for most users
| - No dedicated wearable or hardware required—uses phones people already own
- Personalized 128-dimensional embeddings from first scan
- Active clinical validation through Medicare-funded deployment
- Compounding value from longitudinal data over time
- Deep learning from 12M+ paired clinical waveforms
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 23 ▲ +1 (up) since last check | 17 ▼ −1 (down) since last check |
| Trust Flow (Majestic) | 6 | 6 |
| Citation Flow (Majestic) | 23 | 25 |
| Referring domains (Majestic) | 87 | 64 |
4 details filled in for both companies.
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