FaceTagr | NIST Top 1% Face Recognition | Edge AI for CCTV, Workforce & Identity | Works Offline jobs and careers

About FaceTagr | NIST Top 1% Face Recognition | Edge AI for CCTV, Workforce & Identity | Works Offline

FaceTagr is an edge-native Vision AI platform that enables real-time intelligence from cameras, mobile devices and access systems. Built for accuracy and scale, FaceTagr combines face recognition with advanced people and object analytics to help organisations detect, understand and respond to events in real time, and investigate them when needed. The platform supports a wide range of capabilities: • Face recognition for identification, authentication and watchlist alerts • People analytics including movement, presence and behaviour patterns • Object detection for safety and security use cases, including threat identification • Real-time monitoring across CCTV networks and distributed environments • Forensic search to quickly retrieve individuals or events from video FaceTagr is designed to work with existing infrastructure. It integrates with standard CCTV systems, Android devices and access control setups, eliminating the need for specialised hardware. At the core of deployment is NBOX, a plug-and-play edge device that connects to existing camera networks and enables on-site processing with low latency and strong data control. The platform follows an offline-first architecture, ensuring reliability in low-connectivity environments while enabling secure synchronisation when required. FaceTagr is used across enterprise security, workforce management, public safety and regulated environments. For childcare and similar settings, Soopervision extends the platform to enable continuous monitoring, early risk detection and improved visibility, aligned with privacy and regulatory expectations. FaceTagr works with system integrators and enterprise customers globally, including deployments across Australia and the United States.

Founded in 2018 by Vijay Gnanadesikan.