Behavioral Signals vs digithings
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Behavioral Signals compared with digithings
| Detail |
Behavioral Signals |
digithings |
| What it does | Speech emotion, behavior, and voice deepfake detection API
| Open-source AI infrastructure you self-host on your own hardware with your own keys
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| Stage | Established
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| Founded | Not given
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| Based in | US
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| Pricing model | Contact for pricing
| Open source
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| Pricing | Not given
| Self-host: $0 (open source, MIT-licensed). Service and Enterprise tiers available on contact for integration and custom development work.
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| Key features | - 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
| - Provider routing with LiteLLM
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| What makes it different | - 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
| - Complete ownership: your keys, hardware, data and audit logs stay under your control
- No vendor lock-in: compose individual modules with your existing stack rather than replacing it
- Full transparency: MIT-licensed, publicly developed on GitHub with open issues, PRs and commit history
- Every request traceable: one ID threads through all services with full audit logging
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 46 ▼ −1 (down) since last check | 5 ▼ −4 (down) since last check |
| Trust Flow (Majestic) | 12 | 0 |
| Citation Flow (Majestic) | 19 | 13 |
| Referring domains (Majestic) | 196 | 1 |
4 details filled in for both companies.
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