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Rising Demand for AI-Driven Workplace Safety
As global demand for AI-powered safety technologies accelerates, enterprises are under pressure to modernise how they monitor and manage workplace risks. In a new industry report by Verdantix, AI safety specialist viAct has been identified among the leading innovators transforming video analytics for workplace safety.
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A new report, “Smart Innovators: Video Analytics for Safety,” evaluates advanced video analytics solutions for enterprise safety. These solutions target complex, high-risk industrial environments.
Fragmented monitoring systems in such settings remain a significant concern that these technologies aim to address.
viAct Recognised Among Global Safety Innovators
Verdantix conducted an assessment that benchmarked vendors across multiple safety and technical capabilities.
Key metrics included behavioural monitoring, PPE detection, unsafe condition identification, and area access controls. The assessment also evaluated system integration and advanced analytics capabilities.
Within this competitive landscape, viAct was recognised alongside established players such as Intenseye and Protex AI, highlighting its growing influence in delivering enterprise-grade video analytics solutions that can scale across diverse operational environments.
From Isolated Use Cases to Integrated Safety Systems
Verdantix’s findings reflect a broader industry challenge: while organisations have expanded video analytics across multiple safety use cases, many still struggle with disconnected systems operating in silos.
In many workplaces, separate applications independently monitor PPE compliance, worker behaviour, or site conditions, with insights scattered across multiple dashboards and workflows.
“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. The challenge now is not just detection, but how systems integrate into workflows and generate insights teams can actually act on,” said Gary Ng, Co-founder and CEO of viAct.
The report reflects this shift by placing greater emphasis on integration, configurability, and real-world operability. These capabilities allow safety insights to evolve beyond simple observation. They empower organisations to translate data into decision-making and concrete action.
Centralised Intelligence for Enterprise Safety Operations
Against this backdrop, viAct has designed its platform to unify multiple safety scenarios. These include behavioural risks, unsafe conditions, area monitoring, and equipment oversight. All of these are managed within a single, configurable framework.
At the core of this approach is viAct’s Enterprise Centralised Management Platform (ECMP), which consolidates alerts, incidents, and safety intelligence into one interface.
This enables organisations to monitor, manage, and respond to risks across multiple sites in a coordinated and operationally efficient manner.
“The focus has to be on systems that are usable on the ground—scalable, configurable, and adaptable to real-world environments. It’s not just about detecting risk, but how effectively you operationalise safety in the field,” Ng added..
The Next Frontier: Agentic AI in Video Analytics
Much of today’s fragmentation in safety systems arises from a disconnect between detection, data interpretation, and decision-making.
Large language models and intelligent orchestration layers are now being applied to video analytics. This shift is driving the industry toward more context-aware and action-oriented safety systems.
Verdantix highlights this evolution by pointing to emerging capabilities like AI agents. These systems go beyond passive video monitoring. Instead, they enable operational execution based on real-time insights.
In line with this shift, viAct is expanding its platform with agentic AI capabilities, with plans to launch over 300 AI agents purpose-built for heavy industries.
Each agent targets specific safety scenarios in complex environments, allowing for tailored risk management. Together, they help enterprises shift from reactive monitoring to large-scale, predictive, AI-powered safety execution.
