| What it does | Tools and algorithms for AI agents to test, fix and optimize your codebase
| 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 | Not given
| US
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| Pricing model | Free
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| Pricing | Vinv is free and open source under the Apache 2.0 license.
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| Key features | - Acceptance test verification before fix deployment
- One-click revert of all changes from a failed fix attempt
| - 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 | - Provides real runtime evidence to AI agents instead of requiring them to guess or generate test cases
- Runs completely locally with zero code changes needed to the codebase
- Proves fixes work by re-executing against acceptance tests the agent never sees
- Works with any AI coding agent without requiring new subscriptions or API keys
- Uses published scientific methods for each decision, with full math and attribution transparency
| - 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) | 8 ▼ −1 (down) since last check | 27 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 4 |
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| Citation Flow (Majestic) | 13 | 32 |
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| Referring domains (Majestic) | 39 | 264 |
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Vinv
Ocular AI