Sorveo, an enterprise AI company specialising in video intelligence, has officially launched its AI-powered video intelligence platform in Nigeria, enabling organisations to transform their existing CCTV systems into intelligent tools for real-time security monitoring and operational oversight.
Across Nigeria, organisations have invested heavily in CCTV infrastructure over the past decade. Yet despite thousands of cameras being deployed across corporate campuses, manufacturing facilities, universities, hotels, shopping centres and critical infrastructure, many security incidents continue to go undetected until after they have occurred.
The challenge is no longer a lack of cameras. It is the inability for human operators to continuously monitor hundreds of live video feeds and identify important events as they happen.
Sorveo’s platform addresses this challenge by applying artificial intelligence to existing camera networks, automatically analysing live video streams and notifying security and operations teams when predefined events occur.
Unlike conventional video management systems that primarily record footage for later review, the platform is designed to identify events in real time, helping organisations respond faster while also improving day-to-day operational visibility.
Beyond traditional CCTV
While CCTV has traditionally been viewed as a security tool, advances in artificial intelligence are expanding its role across the enterprise.
Modern AI-powered video intelligence can support security teams by detecting events such as unauthorised access, perimeter breaches and watchlist matches, while also helping operations teams monitor occupancy, improve compliance with operational procedures, identify health and safety issues and gain greater visibility into how facilities are functioning.
This convergence of security and operational intelligence enables organisations to derive significantly greater value from existing surveillance infrastructure without replacing installed cameras.
Sorveo has been designed around this principle. Its platform integrates with many existing IP camera systems, allowing organisations to introduce AI-powered analytics without undertaking costly infrastructure replacement projects.
“Most organisations already have the cameras they need. The real challenge is turning those cameras into a source of actionable intelligence. Our mission is to help organisations unlock more value from their existing CCTV investments by using AI to surface the events that matter, when they matter.”
— Iso Bassey, Founder, Sorveo
Supporting enterprise sectors
The platform has been developed for organisations operating large or complex environments where continuous monitoring is difficult, including:
• Oil and gas facilities
• Universities and educational campuses
• Hotels and hospitality groups
• Manufacturing sites
• Commercial real estate
• Logistics and distribution centres
• Retail environments
• Critical national infrastructure
By automatically identifying important events and presenting them to the appropriate personnel, organisations can improve response times while reducing the burden on security operators responsible for monitoring multiple camera feeds simultaneously.
The future of enterprise video intelligence
According to Sorveo, artificial intelligence represents a significant evolution in how organisations use video technology.
Rather than serving solely as an evidential recording system, CCTV is increasingly becoming a source of real-time business intelligence that supports security, operational efficiency, safety and compliance.
“Our vision extends beyond security. We see video becoming another enterprise data source—one that helps organisations make faster, better-informed decisions across both security and operations. AI enables organisations to move from simply recording events to understanding them as they happen.”
With its official launch in Nigeria, Sorveo aims to help organisations maximise the value of their existing CCTV infrastructure while reducing the complexity traditionally associated with adopting AI-powered video analytics.
