Sorveo is an AI-powered video intelligence platform that adds a real-time analytics layer to existing CCTV infrastructure, enabling organizations to detect threats, identify activity, and respond to incidents as they unfold. The platform supports facial recognition, vehicle plate matching, and behavior pattern detection across IP, NVR, or hybrid camera setups without requiring hardware replacement.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional CCTV systems are passive recording tools that only show what happened after an incident occurs, requiring manual review of hours of footage to identify security threats or operational issues. Organizations with existing camera infrastructure face significant cost and disruption if they want to upgrade to intelligent, real-time monitoring capabilities.
Solution
Sorveo provides an intelligent software layer that connects to existing CCTV systems — whether IP, NVR, or hybrid setups — and transforms passive footage into live, actionable intelligence. The platform performs real-time person, vehicle, and behavior detection across every feed, running at the edge or in the cloud depending on the environment. When threats or watchlist matches are detected, alerts route instantly to the right personnel via app, SMS, email, or directly into existing security systems. Sorveo enables organizations to move from reactive security to proactive incident prevention, with watchlist matching capabilities for faces, vehicle plates, and behavior patterns. The platform is designed for rapid deployment, with setup completed in days rather than months, and includes governance features aligned with NDPR and POPIA regulations.
Target Audience
Primary customers are security operations teams in oil & gas, banking and financial services, retail, residential estates, hospitality, logistics, and corporate facilities that need real-time threat detection and watchlist management on their existing CCTV infrastructure.
Features
- Real-time facial recognition with customer-owned watchlist matching for persons of interest, banned individuals, VIPs, and registered visitors
- Vehicle plate recognition with watchlists for suspect vehicles, access-managed populations, and fleet tracking
- Pattern-based behavior watchlists detecting shoplifting signatures, loitering profiles, and approach-retreat patterns
- Multi-channel alerting with per-watchlist routing rules to control-room, app, SMS, or third-party SIEM/PSIM systems
- On-premise capable processing with biometric templates that never need to leave the customer network
- Audit-grade governance with role-based access control, timestamped edit logging, and quarterly review reports
- Configurable data retention windows per watchlist with auto-expiry, defensible under NDPR/POPIA
- ONVIF, RTSP, and major vendor API support for seamless integration with existing camera infrastructure