| 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
| - Multi-agent AI system that plans, verifies, builds, and self-heals tests
- Natural language test creation from plain English instructions
- Automatic test discovery from URLs, PRDs, Jira tickets, and Figma links
- Self-healing tests that repair when UI changes
- Test organization with hierarchical folders and test suites
- Flexible execution: on-demand, scheduled, and CI/CD-triggered
- Parallel execution across browsers and viewports
- Test results delivered to Slack, Teams, or email
- Test data management with variables, secrets, and assets
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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
| - Tests are created and maintained without code, from plain English descriptions
- Self-healing tests automatically adapt to UI changes without manual rewrites
- Multi-agent system with automatic test planning, generation, verification, and execution
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Cyberette
Klarent