Predictive Solutions’ SafetyNet App Now Available for Android on Google Play

Share Article

The SafetyNet app provides Android™ users an easier way to collect safety observations to predict and prevent workplace injuries.

SafetyNet application on Android

Making it easier for our customers to collect the data that will ultimately keep their people safe is critical.

Predictive Solutions Corporation announced today that its SafetyNet app for Android is now available for download on Google Play. Existing Predictive Solutions customers can install the app on their Android phone or tablet and use it to collect their workplace safety observations.

SafetyNet from Predictive Solutions is the leading technology for saving lives by predicting workplace injuries. It is a safety software solution that automates the collection of workplace safety data and performs advanced and predictive analytics to identify trends that can affect workers’ safety. With their highest risk areas identified by SafetyNet, customers can predict where injuries are likely to occur and then proactively prevent them.

The Android app makes it easier for companies to collect the data that fuels the advanced and predictive analytics of SafetyNet. The easy-to-use app drives an increased number of inspections while improving the quality of observations. By removing the manual data entry steps associated with paper-based observations, companies get inspection results faster, allowing teams to be more productive.

“Making it easier for our customers to collect the data that will ultimately keep their people safe is critical,” said Griffin Schultz, general manager at Predictive Solutions. “The SafetyNet app enables this, while bringing us one step closer to realizing our vision of eliminating death on the job in this century.”

SafetyNet is also available on most BlackBerry devices, and is available for download on the App Store for the iPhone®, iPad® and iPod touch®.

Android is a trademark of Google Inc.


About Predictive Solutions Corporation
Predictive Solutions Corporation, formerly DBO2, saves lives by predicting workplace injuries. Its software solutions help track, trend and analyze safety related data and incidents. They also employ proprietary models that predict the likelihood, frequency and location of workplace injuries using its customers’ safety observation data. In addition, Predictive Solutions delivers consulting services that drive culture and process change within organizations to create sustainable safety processes that reduce injuries. With more than 100 million observations and nearly 40,000 reported incidents from more than 15,000 worksites around the world, Predictive Solutions has emerged as an industry leader in predicting injuries before they occur. Predictive Solutions, based in Pittsburgh, Pa., was founded in 2001 and became an Industrial Scientific company in 2008. Its employees, along with those of its parent company, are dedicating their careers to ending death on the job in this century. For more information, visit

About Industrial Scientific Corporation
Industrial Scientific Corporation is the world’s leading provider of Gas Detection as a Service. With more than 850 people working in 18 countries, Industrial Scientific is dedicated to eliminating death in the workplace by the end of this century. Achieving this goal requires dedication to delivering highest quality and best customer service in all transactions. Industrial Scientific also focuses on providing analysis of data from equipment use and maintenance to identify problems before they happen. Industrial Scientific has operations based in Pittsburgh (USA), Arras (France), Dortmund (Germany) and Shanghai (China). The company provides technical services to customers from local service centers around the world, and has additional offices in Australia, Bahrain, Brazil, Canada, Czech Republic, India, Indonesia, Mexico, Netherlands, Qatar, Saudi Arabia, Singapore, United Arab Emirates and the United Kingdom. Industrial Scientific is the parent company to Oldham ( and Predictive Solutions Corporation ( For more information, visit

Share article on social media or email:

View article via:

Pdf Print

Contact Author

Chris Lange

Candace Adrian
Visit website