| What it does | Deepfake Detection Backed by Forensic Evidence
| The night watch for apps built with AI that tests checkout on every preview, watches live apps and payments, and identifies the deploy behind a break
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| Stage | Startup
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| Founded | 2024
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| Based in | NL
| IN
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
| Watch: Free (1 app, 1 journey read-only on production daily, security checks, 1 uptime monitor). Guard: $19/month (5 journeys on every preview and production deploy, business pulse, 20 auto-fixes a month, 10 monitors). Guard + Calls: $49/month (everything in Guard plus 10 journeys per app, Corvis ca
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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
| - Journey testing on preview deployments in real browser
- Security checks on every push
- Uptime monitoring
- Leaked key detection and rotation help
- Screenshot and fix brief for failing steps
- Telegram alerts with voice briefings
- Export journeys as Playwright tests
- Supabase row-level security check and auto-fix
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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 real customer journeys in a real browser on every preview, not AI-generated tests grading their own work
- Learns your app's normal payment and signup patterns to detect drops when they occur
- Works across Vercel, Supabase and Stripe together for full app visibility
- Calls you on critical issues like stopped payments instead of just sending alerts
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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
Corvis