| What it does | Tools and algorithms for AI agents to test, fix and optimize your codebase
| Validate and monitor AI and LLM models for accuracy, robustness, and governance
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| IL
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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
| - Real-time monitoring and alerts for model mistakes
- Comprehensive validation metrics for stability and accuracy
- Model explainability at global and local levels
- Detection of anomalies and model vulnerabilities
- Bias and fairness analysis
- Governance tools for regulatory compliance
- Automated real-time reporting for stakeholders
- Actionable mitigation steps and risk reduction
- Production monitoring to prevent performance deterioration
- Real-time prediction explanation with error and certainty metrics
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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
| - Outperforms international explainability benchmarks like SHAP and LIME
- Unique ability to dive into local samples in real time
- Patent-pending proprietary methodology
- Comprehensive solution covering development and deployment
- 82% faster time to production
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 8 ▼ −1 (down) since last check | 25 ● no change since last check |
| Trust Flow (Majestic) | 0 | 6 |
| Citation Flow (Majestic) | 13 | 16 |
| Referring domains (Majestic) | 39 | 77 |