viAct has been identified among the innovators in Verdantix’s Smart Innovators: Video Analytics for Safety assessment, as industrial safety analytics moves from isolated camera-based detection toward integrated operational systems.
The Verdantix assessment evaluates vendors across safety and technical capabilities including PPE detection, behavioural monitoring, unsafe condition identification, area controls, system integration, configurability, and analytics. viAct is listed alongside safety analytics providers including Intenseye and Protex AI.
Computer vision has become more common in high-risk industrial environments, where cameras are already used across production areas, construction sites, logistics facilities, energy assets, and heavy industrial plants. As deployments expand, the harder task is joining detections to incident handling, safety workflows, and site-level management without leaving teams to reconcile alerts across separate dashboards.
Gary Ng, co-founder and chief executive officer of viAct, said: “What we’re seeing across sites today isn’t a lack of technology – it’s fragmentation. Detection here, dashboards there, and very little connecting it all.”
Separate tools for PPE compliance, restricted zones, plant movement, unsafe behaviours, and contractor activity can leave safety teams with a spread of outputs rather than one usable operational picture. The result is often more data, but not necessarily clearer prioritisation or faster response.
viAct’s platform is built around its Enterprise Centralised Management Platform, which consolidates alerts, incidents, and safety insights into a single interface. The system is designed to support multiple video analytics use cases within configurable deployments, including behavioural risk, unsafe conditions, area monitoring, equipment monitoring, and broader safety analytics.
The company is also extending the platform with agentic AI capabilities. viAct says it is preparing more than 300 AI agents for heavy industries, each designed around specific safety, productivity, compliance, or operational intelligence scenarios.
That development places the company within a wider shift in industrial AI, where video analytics is being combined with vision language models, IoT signals, and automated workflows. Detection accuracy remains essential, but deployment quality increasingly depends on whether the system can reduce alert fatigue, support investigation, and turn observations into repeatable site action.
Ng said: “The focus has to be on systems that are usable on the ground – configurable, scalable, and able to work across real-world environments – because ultimately, it’s not just about detecting risk, but how effectively you can operationalize it in the field.”
The Verdantix assessment is available through viAct’s report page.
