| What it does | Deepfake Detection Backed by Forensic Evidence
| One-click molecular docking with AutoDock Vina in your browser
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| Stage | Startup
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| Founded | 2024
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| Based in | NL
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| Pricing model | Contact for pricing
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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
| - Automated receptor and ligand preparation via Meeko
- Batch screening up to 300 ligands per job
- Publication-ready PDF reports with embedded figures
- 2D and 3D interaction diagrams with PLIP
- PoseBusters automated pose quality validation
- ADMET analysis including Lipinski, Veber, and QED
- Custom docking box definition with 3D visualization
- Co-crystal redock validation against crystal poses
- Interactive 3D viewer for pose inspection
- Optional PyMOL publication-quality binding site rendering
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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
| - No software installation or local computing required
- Fully reproducible, documented pipeline with exact software versions recorded per job
- Automated Methods text and citations ready for manuscript submission
- Batch parallel docking with per-ligand failure tolerance
- Secure cloud processing with immediate data deletion after job completion
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 5 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 4 | 0 |
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| Citation Flow (Majestic) | 8 | 17 |
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| Referring domains (Majestic) | 30 | 9 |
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Cyberette
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