| What it does | Deepfake Detection Backed by Forensic Evidence
| AI code review and codebase risk assessment for apps built by AI tools
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| Stage | Startup
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| Founded | 2024
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| Based in | NL
| US
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
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| Key features | - 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
| - 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
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| What makes it different | - 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
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 5 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 4 | 3 |
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| Citation Flow (Majestic) | 8 | 17 |
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| Referring domains (Majestic) | 30 | 5 |
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Cyberette