| What it does | Encoding Human Expertise into Machines
| AI writes your code. Canary tests it.
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Not given
| Contact for pricing
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| Pricing | Not given
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| Key features | - Converse-STT Benchmark for speech-to-text evaluation
- Converse-Diarization Benchmark for speaker attribution
- Expert network with domain specialists
- Audiovisual conversational datasets
- Multilingual conversational AI datasets
- Open-source model post-training research
| - 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
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| What makes it different | - Real-world conversational data from elite professionals
- Multimodal and multilingual expertise encoding
- Rigorous benchmarking with open-source evaluation tools
- Custom data pipelines for each discipline and accent
- Focus on nuance beyond scale, capturing lived experience
| - 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
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| Community votes | 1 | 0 |
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| DR (Domain Rating by Ahrefs) | 27 ▼ −1 (down) since last check | 18 ● no change since last check |
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| Trust Flow (Majestic) | 4 | 5 |
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| Citation Flow (Majestic) | 32 | 32 |
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| Referring domains (Majestic) | 264 | 150 |
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Ocular AI