
ArcadianAI has unveiled Ranger, an artificial intelligence platform that aims to transform enterprise video monitoring by automating the work traditionally handled by human operators. Reported by Business Wire, the US-based company positions Ranger as an “AI security guard” capable of watching thousands of cameras simultaneously while reducing costs and human error.
Monitoring centres across North America have long struggled with the inefficiencies of human-led surveillance – high labour costs, operator fatigue and limited scalability. ArcadianAI says its solution directly addresses these pain points. “One AI guard can monitor more than ten thousand cameras for less than one human operator watching sixteen,” said Ben Kavousi, Vice President of Operations at Virtual Security Concierge.
Founder Marie Roohi said the company’s aim is not to replace people, but to enhance operational capability. “AI is not the end of security guards. It is their strongest teammate,” she noted.
Unlike basic motion detection systems, Ranger uses contextual understanding to identify and classify incidents – from break-ins and vandalism to fire, loitering and suspicious vehicles. Each event is scored by severity and sent to an operator with supporting details such as camera location and recommended response, turning what used to be raw data into actionable intelligence.
The platform integrates with existing CCTV and NVR infrastructure and is compatible with thousands of camera models from leading brands, including Hanwha, Axis, Hikvision, Avigilon and Pelco. It also supports common protocols such as ONVIF, RTSP and SIP, and can connect with major video management and security platforms, including Immix, Sureview, DW Spectrum and Brivo.
ArcadianAI’s approach exemplifies how AI is moving from experimental pilot projects into mainstream physical security operations. By combining event intelligence with automated workflows, solutions like Ranger signal a shift towards more responsive, data-led monitoring strategies – where people remain central but are supported by scalable, machine-driven awareness.
Find out more at www.arcadian.ai







