Urbint Launches First-Of-Its-Kind AI-Powered Worker Safety Technology to Prevent Injuries and Fatalities
Urbint Lens for Worker Safety uses real-world data to identify high-risk construction projects
Urbint, the only AI-powered field risk mitigation platform for critical infrastructure operators, today announced the launch of Urbint Lens for Worker Safety, a new predictive AI technology that identifies safety threats to workers in the field, enabling supervisors to prevent serious injuries and fatalities.
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Serious injuries and fatalities in construction have not gone down significantly in 14 years.1 This is because many threats to worker safety—from electric current to slip hazards—are invisible or easily overlooked. In fact, studies show that workers in the field can only identify 45 percent of worksite hazards on their own.2 Urbint Lens for Worker Safety uses machine learning to reveal hidden safety threats in advance, giving managers the power to assign and implement targeted interventions before an incident occurs.
“Our vision is to create a world with zero field safety incidents,” said Urbint Founder and CEO Corey Capasso. “We believe every safety incident is preventable when you’re armed with specific, actionable intelligence that identifies unseen threats. Urbint Lens for Worker Safety analyzes hundreds of datasets to reveal risks, so managers can make informed, targeted decisions that protect workers in the field.”
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“Attitudes toward worker safety have evolved significantly over the past decade,” said Nick Stavropoulos, Chief Safety Advisor to Urbint and former President and COO of PG&E. “Utilities and other high-hazard industries have moved from a culture that blamed workers for accidents, to one that recognizes it is incumbent on employers to identify threats to their workers and create safe worksites. Understanding risks in advance is a game-changer because it makes it possible to protect workers proactively, before incidents occur.”
Urbint Lens for Worker Safety analyzes factors that contribute to worker injuries, combining operator data like work history, schedule, site conditions and more with hundreds of external factors from weather, to traffic patterns, to topography to pinpoint threats. The solution delivers a clear picture of safety risk across job sites, enabling field operators to take action to protect workers and save lives.
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