Safety Observations is an easy-to-use field system for project teams, safety teams, and executives. It places observations at the center of risk calculations, which has shown to reduce incident rates by 30% through the documentation of both positive and negative jobsite behaviors and conditions. Unlike checklist-based systems, an observations-based approach involves the entire project team in the shared responsibility of safety and supports programs where observations are turned into teachable moments.
Project conditions are changing constantly, and Safety Monitoring helps safety managers and executives identify up-to-date risk conditions and where to focus each week. Vinnie, the construction-trained AI, works like a “virtual safety manager”, automatically detecting safety hazards on jobsites, creating dashboards and a safety risk assessment report that enables cross-project benchmarking for leading risk indicators from PPE to workers at height, to ladders by type, slip trip and fall hazards and more.
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.