Deployment: GREÏ pilots AI safety monitoring with Gilesta construction

Summary

• Lithuanian general contractor Gilesta is piloting GREÏ’s AI safety monitoring system.
• GREÏ connects to existing security cameras to provide visibility and issue alerts in real time.
• Data collection allows GREÏ users to address root causes and prevent repeat issues.
• Insights from GREÏ’s platform enable Gilesta to generate actions, including targeted retraining, layout changes, and procedural updates to support safety.

Safety monitoring system provider GREÏ recently shared a pilot deployment of its AI-powered platform with Gilesta.

The Lithuanian general contractor is currently piloting GREÏ’s AI system at three active construction sites.

Instead of relying on occasional inspections or sporadic reporting, GREÏ’s platform connects to existing site security cameras to provide a live, unified overview of operations.

The system identifies unsafe behavior and environmental risks as they emerge, notifies supervisors, and generates data-backed reports that help prevent issues from recurring.

“Regulations and training only go so far when real-time accountability is missing,” said Giedrė Rajuncė, GREÏ CEO and co-founder. “Safety issues often occur not because workers don’t know the rules, but because organizations lack visibility into what’s happening in real time.”

GREÏ helps address root causes, prevent repeat issues

Traditional approaches to safety, which include checklists, training, and audits, provide only a snapshot of conditions. Hazards can go unnoticed until after an incident.

“As a general contractor, we’ve learned that checklists and periodic audits capture compliance for a moment in time - not the reality of a live site,” said Egidijus Galinauskas, Gilesta head of innovations and development.

Rajuncė also described the limits of human oversight: “On construction sites, for example, it is common to hire or outsource a specialist who visits for just a few hours each week. That means less than 10% of total working hours are actually monitored. The other 90% is left to trust, and in a fast-changing environment, a lot can happen in that time.

“That is exactly where the idea of a never-sleeping smart system was born, she added. “I was looking for this tool for my own companies in construction and security, and AI was the only way to both save costs and close those blind spots.”

Continuous monitoring allows organizations to use existing cameras and AI tools to detect unsafe behavior in real time, alert supervisors instantly, and generate data for long-term improvements.

“AI closes that gap by turning our existing cameras into a 24/7 second set of eyes,” Galinauskas said. “It flags missing personal protective equipment (PPE) or fall risks in real time, prompts supervisors to act, and gives us evidence to fix root causes rather than repeat violations.

“We’re piloting the system across several Gilesta sites under clear rules on privacy and incident handling, tracking outcomes week over week,” he added. “After the pilot, we move to a company-wide rollout with the same standards.”

Gilesta’s insights guide retraining, layout and process changes

Falls, missing PPE, and improper equipment use continue to dominate global workplace safety violations year after year. Despite stricter regulations and training programs, fatality rates in high-risk sectors such as construction and warehousing remain high.

According to the U.S. Bureau of Labor Statistics (BLS), construction accounted for 1,075 workplace fatalities in the U.S. in 2023, the highest number for the sector since 2011. Nearly 40% of those deaths were caused by falls.

The financial impact of unsafe workplaces is equally severe. Beyond the human toll, accidents and violations cost businesses billions each year in fines, lost productivity, and insurance claims.

The American Federation of Labor and Congress of Industrial Organizations (AFL-CIO) estimated the cost of job injuries and illnesses ranges from $174 billion to $348 billion annually.

AI allows companies to move from reactive compliance to proactive risk management, delivering insights that would otherwise take thousands of hours of manual oversight.

“And we don’t stop at rollout - we turn the insights into concrete actions: targeted retraining, layout changes, subcontractor briefings, and procedural updates,” Galinauskas said. “We also track the reduction in incidents as part of our safety routine.”

Looking ahead, Rajuncė said she sees workplace safety evolving into workplace intelligence. “We're heading toward a future where safety isn't just a box to check off, but woven into everything we do. Companies will use live dashboards, predictive alerts, and AI tools that seamlessly integrate into daily operations. Managing risks will become second nature and automated, much like running payroll.”