Predict & Prevent® Podcast Episode 18: Wearable Allies: Transforming Workplace Safety

For decades, workplace safety management has followed a frustratingly reactive pattern: wait for accidents to happen, implement fixes, and repeat.
Innovative wearable technology is now breaking this cycle by capturing critical environmental and motion data that enables safety professionals to address hazards before injuries occur, according to “Wearable Allies: Transforming Workplace Safety,” the latest episode of the Predict & Prevent® podcast from The Institutes.
Gabriel Glynn, CEO and co-founder of MākuSafe, talks with host Pete Miller, CEO of The Institutes, about how a conversation with his father, a safety manager who was frustrated with the passive nature of his job, inspired him to create technology that helps safety professionals become proactive instead of reactive.
“He told me something that actually really kind of broke my heart,” Glynn explained. “I wait for something bad to happen. I figure out why it happened. I put a plan in place so that bad thing doesn’t happen again. And then I spend a bunch of time filling out paperwork. By the time I’m done with that, something else bad has happened.”
This revelation inspired Glynn to develop wearable technology that collects environmental data—including noise, temperature, humidity, and air quality—along with motion data to identify potential hazards before accidents occur. The arm-mounted device also features a groundbreaking “My Voice” function allowing workers to instantly report issues.
Unlike other safety wearables, MākuSafe’s philosophy centers on data collection rather than worker disruption.
“There’s a lot of stuff out there that we’re putting on workers that’s designed to buzz the worker or send them some sort of feedback,” Glynn noted. “Instead, what we want to do is gather that information in real time and put it in the hands of safety leaders to be able to go have a human conversation with that worker.”
The results have been impressive. One customer implementing MākuSafe technology had their lowest workers’ compensation claims in 12 years. Another discovered an ergonomic issue when data showed unexpectedly high physicality in what was thought to be an easy job—workers were struggling to open barrel caps with manual wrenches, leading to potential shoulder injuries.
MākuSafe’s newest product, Scout, addresses forklift-pedestrian interactions through an Android tablet mounted in forklift cabs that detects worker sensors. In one pilot implementation, a beverage company reduced dangerous interactions with forklifts by 85% after analyzing the data.
“Culture is the number one ingredient for technology like this being successful,” Glynn emphasized. “You have to have a high degree of trust between the front line and the leadership.”
The MākuSafe team embodies this philosophy—nearly everyone on the business side has become certified in occupational safety to better understand their customers’ challenges.
With 7 million hours of human work data already collected and growing, MākuSafe aims to reveal previously unknown correlations between environmental factors and worker safety, potentially transforming our understanding of workplace hazards.
To listen to this and other episodes, visit predictandprevent.org, or look for Predict & Prevent on most podcasting platforms. New episodes come out every three weeks.