| What it does | AI code review and codebase risk assessment for apps built by AI tools
| Encoding Human Expertise into Machines
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Freemium
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| Pricing | Not given
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| Key features | - Assessment across twelve domains
- Readiness score and levels
- GitHub repository integration
- Security and secrets scanning
- Architecture and code quality evaluation
- Open source license analysis
- Data privacy compliance assessment
- Reactabot AI assistant for follow-up questions
- Shareable technical readiness report
- Effort and remediation guidance
| - 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
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| What makes it different | - Assesses AI-generated code across twelve domains including security, architecture, and technical debt
- Readiness score understandable by non-technical decision makers
- Read-only GitHub integration that never modifies repositories
- Grounded findings with evidence and severity classification
- Works with any AI builder that pushes to GitHub
| - 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
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| Community votes | 0 | 1 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 27 ● no change since last check |
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| Trust Flow (Majestic) | 3 | 4 |
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| Citation Flow (Majestic) | 17 | 32 |
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| Referring domains (Majestic) | 5 | 264 |
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Ocular AI