| What it does | Open-source AI security verification
| Human evaluation for text-to-speech with blinded listening studies
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Open source
| Paid
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| Pricing | Not given
| $18.00 per hour of audio heard by listeners; $0.30 per judgement on a pair of two 30-second clips; $300.00 for 200 pairs × 5 ratings with 30-second clips (1,000 judgements)
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| Key features | - Scan model and code artifacts offline
- Probe and monitor live endpoints
- Grade recorded application runs
- Diff and compare security runs
- 58 security rules across build and runtime
- Python API for integration
- Custom rule creation with YAML or Python
- Cost estimation before probing
- Optional self-hosted collector
| - Blinded paired-preference studies with no system names visible
- API for creating studies and retrieving results
- Exact price quote before study starts
- Per-judgement data export as CSV
- Paid US-based listener panel
- Attention signals recorded with every judgement
- Live results streaming as listeners answer
- Detection template for AI vs human narration
- Published methodology and platform transparency
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| What makes it different | - Fully offline artifact scanning with no telemetry or account required
- Unverified results never marked as clean; handles uncertainty explicitly
- Works with multiple model APIs and MCP servers regardless of model
- Re-grade recorded runs without rerunning the application
| - Publishes its own listening studies on the same platform with the same methodology as customer studies
- Forced-choice preference testing answers which system people prefer, not rating scales
- Fast turnaround with live result streaming and no minimum study size
- Transparent pricing with no setup fees or minimums, quoted before starting
- Customer audio stored securely and used only for that study
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 8 ● no change since last check |
| Trust Flow (Majestic) | 2 | 9 |
| Citation Flow (Majestic) | 21 | 24 |
| Referring domains (Majestic) | 22 | 69 |