Oracle launches AI system designed to predict construction safety risks
AI predictive analytics from Oracle helps construction firms identify high-risk projects before incidents occur.
The US tech company Oracle has introduced a new AI platform to predict safety risks across construction projects.
A system called Advisor for Safety that aims to shift industry practices from reactive incident response to predictive risk prevention.
The AI model was trained using safety information equivalent to more than 10,000 project-years across multiple project types and locations.
By analysing historical patterns, the platform generates weekly forecasts that identify projects statistically most likely to experience safety incidents.
The solution also integrates structured safety observation tools through systems such as Oracle Aconex and Oracle Primavera Unifier, allowing field teams to collect consistent data on mobile devices or web platforms.
These inputs improve predictive accuracy while enabling organisations to track potential hazards earlier in the project lifecycle.
According to Oracle, the system combines data streams ranging from incident reports and payroll records to project schedules and operational metrics.
Early adopters reportedly reduced workplace incidents by up to 50 percent and workers’ compensation costs by as much as 75 percent during the first year of use.
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