| What it does | Deepfake Detection Backed by Forensic Evidence
| Reliability monitoring for autonomous agent systems
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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
| Paid
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| Pricing | Not given
| Fixed-fee pilot of about a month credited against the first year if continuing. Annual subscription after pilot in three tiers: Map, Gate, or Continuous.
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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
| - Detects agents built but never connected
- Identifies work that silently stops between agents
- Catches judges that grade incorrectly
- Prevents changes shipping past broken tests
- Detects identity and data drift
- Measures self-repair behavior
- Works with any model and framework
- Read-only connector with no system changes
- Deployment pipeline gate with pass/fail status
- Encrypted data transmission and on-premises options
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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
| - Finds failures that never raise an alarm
- Built and proven on real production systems, not theory
- Read-only connector never changes your system
- Works with any model without depending on model vendor
- First findings within a week of pilot start
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 6 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 4 | 0 |
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| Citation Flow (Majestic) | 8 | 0 |
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| Referring domains (Majestic) | 30 | 0 |
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Cyberette
Obsilient