Protent adds real‑time audio‑visual analytics to existing live video feeds, extracting tone, behavior, and scene context while automatically flagging weapons, vehicles, and other evidence‑type objects. Operators can query any active camera using natural‑language commands to locate persons, vehicles, or specific scenes without building separate archives, and the platform includes end‑to‑end encryption, role‑based access controls, and immutable audit logs for secure compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Law enforcement and security teams often monitor multiple live camera feeds without real-time insight into audio tone, behavior, or contextual cues, making it difficult to detect escalating situations before they turn violent. Existing systems lack the ability to quickly search live video for specific persons, vehicles, or objects, and they do not provide automated alerts for weapons or other critical evidence.
Solution
Protent augments existing video management systems by applying live video and audio analytics to extract tone, behavior, and scene context from current camera feeds. Operators can query any active stream using natural‑language commands to locate individuals, vehicles, or specific scenes without building separate archives. The platform continuously flags weapons, vehicles, and other evidence‑type objects in real time, delivering immediate alerts to responders. All data processing is performed on the live feed, and the solution includes end‑to‑end encryption, role‑based access controls, and immutable audit logs to meet security and compliance requirements. Deployment involves simply connecting existing cameras, enabling the analytics engine, and using the search interface as needed.
Target Audience
Primary customers are law‑enforcement agencies, school districts, college campuses, stadium operators, and public‑housing security teams that need proactive monitoring of live video environments.
Features
- Real‑time fusion of acoustic and visual data to assess tone, behavior, and scene context
- Natural‑language search across all active feeds, returning matching camera IDs instantly
- Automated detection and alerting for weapons, vehicles, bags, and other evidence‑type objects
- Integration with existing VMS hardware; no additional cameras or storage required
- End‑to‑end encryption, granular access controls, and tamper‑evident audit logging for compliance
- Scalable deployment in three steps: connect cameras, activate live analysis, and use search when needed