Predictive Analytics enables teams to continuously reduce risk by proactively identifying high-risk projects through an Incident Early Warning System. Trained on massive amounts of historical project data and incident reports, this construction-specific AI model analyzes data from the Safety Monitoring module and other sources to predict safety incidents. Predictive analytics models are built for each customer and specifically tuned for their sources of data and types of construction.
Connecting the dots - data collection
Collecting data from previously siloed sources
Connecting the dots - data collection
Safety Monitoring output: Collecting subtle signals of risk from project image data
Safety Observation data: Collecting information on safety culture and employee interactions
Safety incident data: Collecting indicators of risk for past safety incidents
ERP & project data: Using data already collected in company systems to provide context
