Lisbon, Portugal – March 5, 2026 – Glartek, a leading provider of EHSQ Connected Worker software, today announced a major platform release introducing AI-native capabilities designed to strengthen risk prevention, improve frontline safety, and accelerate operational performance in industrial environments.
Glartek 4.0 embeds intelligence directly across the EHSQ lifecycle, including operational execution, compliance management, reporting, insights, and prevention. Unlike traditional EHSQ tools that use AI just for search, the platform automatically cross-references past data — like permits and field inspections — with current conditions to generate alerts and flag issues before they escalate.
Based on early customer tests, the platform moves beyond basic data collection to enable real-time prevention, delivering 3x faster decision-making and driving organizations toward a zero-accident rate.
“Glartek 4.0 is a defining milestone for Glartek and for the EHSQ technology space,” said Bruno Duarte, CEO of Glartek. “Our customers are asking for more than digital forms; they want real prevention, more efficiency and intelligence embedded into EHSQ workflows. Glartek 4.0 is built for the frontline, turning proactive safety into a reality.”
Glartek’s roadmap is aligned with insights from Verdantix, including the Global Corporate Survey 2025. The development of the platform reflects the growing industry shift toward real-time operational visibility and the broader use of leading indicators to support more proactive EHSQ management. Simultaneously, Glartek 4.0 uses AI to automate routine safety and compliance processes, cutting the time EHSQ leaders spend on manual tasks in half.
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Request a DemoFounded in 2017, Glartek develops AI-native EHSQ software built for frontline teams operating in high-risk industries, including process manufacturing, energy and utilities, specialty chemicals, oil and gas, pharmaceuticals, pulp and paper, and food and beverage. Built for the people who actually use it, Glartek connects field operators with EHS and Quality teams, so the whole organization works from the same data from the frontline to management. It's one native platform, built end-to-end rather than assembled from separate tools: incident management, risk assessment, audits, environmental monitoring, contractor compliance, and corrective actions share a single data model, one user experience, and one AI layer that runs inside daily operations. That AI pre-fills incident and near-miss investigations, predicts the potential for serious injuries and fatalities from leading indicators, and guides operators through safety-critical tasks.
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