Predictive Analytics is a powerful application that enables teams to reduce risk by proactively identifying high-risk projects through an Incident Early Warning System. The "Vinnie" AI engine is trained on massive amounts of historical project data and incident reports to accurately predict safety incidents before they happen. Predictive analytics models are built for each customer and specifically tuned for their sources of data and types of construction.

Case studies

Collecting data for safety forecasts

  • 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


Case studies


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