| What it does | Tools and algorithms for AI agents to test, fix and optimize your codebase
| Deepfake Detection Backed by Forensic Evidence
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| Stage | Not given
| Startup
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| Founded | Not given
| 2024
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| Based in | Not given
| NL
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| Pricing model | Free
| Contact for pricing
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| Pricing | Vinv is free and open source under the Apache 2.0 license.
| Not given
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| Key features | - Acceptance test verification before fix deployment
- One-click revert of all changes from a failed fix attempt
| - Multi-layer forensic analysis examining visual inconsistencies, facial behaviour, audio anomalies, metadata, and traces of AI generation
- Facial movement and expression analysis to identify signs of manipulation
- Suspicious region pinpointing with visual indicators in images, videos and audio
- Metadata and provenance inspection to identify inconsistencies
- Explainable results and forensic reports for decision-making and legal proceedings
- Flexible deployment options including cloud, on-premises, containerised and air-gapped setups
- API and SDK integration into existing systems
- Landmarking analysis detecting inconsistencies in facial features and face-to-background alignment
- Behavioral signal analysis tracking blinking, breathing and emotional cues to confirm liveness
- Cross-modality checks aligning and comparing audio and video streams to expose manipulation
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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
| - Forensic evidence-backed results with explainable indicators instead of guesswork
- Research-grade technology backed by Rabobank and showcased at major tech events
- Supports investigation, intelligence, law enforcement and legal workflows with evidence-ready outputs
- Multimodal detection across video, audio, image and text with unmatched precision
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 8 ▼ −1 (down) since last check | 5 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 4 |
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| Citation Flow (Majestic) | 13 | 8 |
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| Referring domains (Majestic) | 39 | 30 |
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Vinv
Cyberette