| What it does | AI writes your code. Canary tests it.
| Forensic-grade AI text detection with end-to-end encryption and zero data retention
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| Stage | MVP
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| Founded | Not given
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| Based in | US
| AU
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| Pricing model | Contact for pricing
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| Pricing | Not given
| Free plan: 5,000 words/month with sign-in. Starter: $10/month (or $8/mo billed annually) for 75,000 words/month. Pro: $22/month (or $18/mo billed annually) for 180,000 words/month. Team: $55/month (or $50/mo billed annually) for 500,000 words/month. Enterprise: custom pricing. Credit packs available
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| Key features | - Automatic test generation from code diffs
- Sandbox app testing with real browsers and APIs
- Reproduced failures with root causes
- Automatic regression test creation
- GitHub PR integration with inline comments
- Testing at every development step
- Support for multiple coding agents
- Slack and Linear integration
- Comprehensive test reports with evidence
- CLI for local testing before commits
| - Quad-Lock four-layer detection engine combining semantic analysis, pattern recognition, rhythm analysis and arbiter
- Zero data retention for guest users; encrypted storage for authenticated users
- Verified Certificates of Humanity with cryptographic signing
- Sentence-level highlighting and forensic analysis
- Batch upload and bulk scanning of multiple files
- REST API for integration into ATS, CMS and internal tools
- Plagiarism checking and matching sources identification
- Scan history with encrypted storage and deletion options
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| What makes it different | - Catches bugs in AI-generated code automatically before they reach production
- Tests code in real browsers and APIs, not just unit tests
- Automatically converts findings into lasting regression tests
- Works directly inside coding agents with one-line integration
- Provides proof with replays and root causes for every failure
| - Only AI detector offering both end-to-end encryption and zero data retention
- Verified Certificates of Humanity exclusive to Veredict for proving human authorship
- Four-layer Quad-Lock engine achieves near-zero false positives including for academic writing
- Privacy-first architecture where submissions are never used for model training
- Every purchase funds carbon removal via Frontier
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 17 ▼ −1 (down) since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 5 | 0 |
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| Citation Flow (Majestic) | 32 | 17 |
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| Referring domains (Majestic) | 150 | 7 |
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