All of the specializations below have been developed from our completed research projects. The concepts and tools yielded by the research process have all been validated, field tested, and published in top scientific journals. Since we believe in 100% transparency, you can read about the background and validity of our methods from peer-reviewed and publically-available sources. These are more than just ideas.
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Energy-Based Hazard Recognition
Hazard recognition is the foundation of all safety programs. However, research shows that the average work team identifies and communicates less than 45% of hazards before a work period. Energy-based hazard recognition training has proven to increase hazard recognition skill by over 30%.
Live Safety Demos
Typical safety training is boring. Live safety demos give workers the experience of an injury without actual harm. The training includes realistic physical demonstrations of past incidents and engaging videos that help workers to understand the true causes of injury.
We developed and validated this technique through 3 years of rigorous research and field testing. By asking the right questions, precursor analysis can be used to determine if the ingredients of a SIF event are present in less than 10 minutes.
Safety Leading Indicators
Using lagging indicators alone to measure safety performance is not enough to achieve world-class results. A leading indicator program can be developed and sustained by measuring the quality and quantity of your safety management practices.
Using natural language processing and machine learning, we are able to organize, visualize, and uncover hidden patterns and trends in your very large databases of injury reports. We also develop cutting edge machine learning and deep learning models to predict injuries, detect energy and hazards in photos and videos, and automatically summarize your safety meetings.