Novarica Article Examines How MakuSafe's Wearable Tech Could Improve Loss Control
April 5, 2019
A recent in-depth interview with Novarica prompted a thorough look at the implications of wearables and AI on loss control and other insurance use-case scenarios. The article cites that while consumer-focused wearables have seen low adoption rates, special-purpose wearables still show promise for specific applications like loss control despite consumer and carrier ambivalence.
One of the most attention-grabbing aspects of the MakuSafe wearable for the Novarica team was the AI-driven, machine learning platform (called MakuSmart) that allows safety managers to collect and take action on data insights to predict and prevent occurrences.
"The most interesting aspect of this wearable platform is the AI-driven machine learning that combines sensor information with patterns of known incidents. This combination makes the platform very accurate over time and enables it to analyze information and provide it to facility safety managers quickly."
MākuSafe was formed by a powerful team of software, hardware and data engineers in an effort to prove that workplaces around the globe can be made safer by gathering environmental data around workers WHILE they work. Using analytics and machine learning technology we can turn that data into predictors so that accidents can be stopped before they happen.