| What it does | AI agents that automate game testing and QA
| 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 | DK
| US
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| Pricing model | Not given
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| Pricing | Not given
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| Key features | - No integration required - test games without SDKs, plugins or code changes
- Plain language test instructions
- Automatic bug report generation with severity scores
- Visual and OCR analysis
- CI/CD pipeline integration
- Support for Android and desktop platforms
- Dynamic gameplay adaptation
- Video, logs and performance data capture
- Custom game-specific model training
- Skill library for player behavior simulation
| - 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 | - No engineering integration needed - QA teams can automate testing independently
- Visual black-box testing like human testers rather than script-based
- Test in plain language without scripting
- Automatic adaptation to game updates
- Detailed bug reports with visual evidence and severity scores
| - 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 | 0 |
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| DR (Domain Rating by Ahrefs) | 51 ● no change since last check | 27 ● no change since last check |
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| Trust Flow (Majestic) | 14 | 4 |
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| Citation Flow (Majestic) | 28 | 32 |
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| Referring domains (Majestic) | 442 | 264 |
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Ocular AI