Distyl vs Behavioral Signals
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Distyl compared with Behavioral Signals
| Detail | 
Distyl | 
Behavioral Signals |
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| What it does | Architecting the AI-Native Enterprise
| Speech emotion, behavior, and voice deepfake detection API
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| Stage | Not given
| Established
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| Founded | Not given
| Not given
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| Based in | US
| US
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| Pricing model | Contact for pricing
| Contact for pricing
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| Pricing | Not given
| Not given
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| Key features | - Distillery: Operating system for enterprise AI
- Weave: Autonomous AI system construction
- Context Mesh: Enterprise knowledge structured for AI
- Context Views: Enterprise semantic layer for agents
- Journey: AI voice layer for digital experiences
- Personalization: 1:1 customer engagement at enterprise scale
- Capture: Tacit knowledge capture at scale
- Canary: Self-improvement for AI systems
- Forward-deployed engineers and researchers
- EBITDA impact in 6 months
| - Emotion recognition from speech
- Voice deepfake detection
- Speaker attributes analysis
- Language-agnostic processing
- Real-time processing at enterprise scale
- Cloud and on-premises deployment
- Behavioral signals combination
- Agent-customer matching via PAIR
- Custom domain-specific models
- Behavioral profiling and recommendations
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| What makes it different | - Delivers production AI systems in weeks or months
- 150M+ end users reached by AI systems
| - Combines acoustic and behavioral cues for broader deepfake detection signal
- Language-agnostic detection without per-language model maintenance
- Real-time processing suitable for live calls
- Custom models built by expert team on same engine
- Agent-customer compatibility matching for better call outcomes
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 57 ● no change since last check | 46 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 16 | 12 |
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| Citation Flow (Majestic) | 36 | 19 |
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| Referring domains (Majestic) | 371 | 196 |
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5 details filled in for both companies.
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