| What it does | CI/CD testing for AI voice agents that calls your agent and returns pass/fail results
| On-device moderation that flags hateful, abusive and threatening text in 23 European languages, before the message is sent.
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | Not given
| NL
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| Pricing model | Free
| Freemium
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| Pricing | 100 free minutes. No credit card required.
| Free up to 100k monthly active devices with unlimited inference. Custom licenses available.
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| Key features | - Real phone calls from real carrier lines for end-to-end validation
- LLM-powered test agent that role-plays as a customer
- Plain English test case descriptions without scripted paths
- Simple two-call REST API integration
- Complete call transcripts in failure notifications for troubleshooting
- LLM as Judge for intelligent pass/fail evaluation
- No SDK or test case repository to manage
| - Three separate scores: hateful, abusive, threat
- Ten target signals under the hate score: race, color, religion, descent, national or ethnic origin, sexual orientation, gender, disability, age, other
- Runs fully on device with no server calls
- Supports 23 European languages from one model file
- 80MB model size optimized for iOS, Android, and browser
- 0.847 macro F1 accuracy on Multilingual HateCheck
- Warn before message is sent
- Comment triage without infrastructure
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| What makes it different | - Real end-to-end validation with actual phone calls covering SIP integration, STT/TTS, and functional behavior
- Intelligent LLM testing that understands intent instead of matching keywords or regex
- Lightweight and unopinionated API design for fast integration
- Complete call transcripts included in test failures for immediate troubleshooting
| - Multilingual support across 23 European languages in a single 80MB model
- Complete privacy with no data leaving the device
- Free access up to 100k monthly active devices with unlimited inference
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 7 ● no change since last check | 37 ● no change since last check |
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| Trust Flow (Majestic) | 3 | 20 |
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| Citation Flow (Majestic) | 22 | 39 |
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| Referring domains (Majestic) | 40 | 616 |
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Toxic