Insurers Seeing InsureTech as Opportunity More than Threat, Says Novarica - New report profiles InsureTechs with focus on opportunities to partner, learn, and create value.
Mark will be presenting MākuSafe to audiences at two IASA regional conferences this week!
Verdantix, an independent research and consulting firm, has recognized MākuSafe as one of a small number of companies to watch in the industrial wearables space. Their research identifies suppliers that EHS executives should target for pilot projects and broader roll outs. The study recommends that firms with innovative EHS strategies engage with wearables vendors because fifty-eight per cent of 221 managers surveyed by Verdantix believe industrial wearable technology will have a significant impact on operational risk management by 2020.
MākuSafe profile in The Des Moines Register shows a closer look at our hardware technology evolution and our analytics software platform advancements as our patents were awarded recently. See the video, slideshow and in-depth article!
MakuSafe has been co-located within Ramco Innovations for more than a year now, and we appreciate our partnership. We wish the best for Maple Ventures & their launch of The Entrepreneur Support Center!
June 26, 2018 - We're excited to announce that MākuSafe is now offering a paid pilot opportunity for insurance partners. This program will offer a very limited number of workers compensation insurers to become early adopters of MākuSafe technology. We believe that through these pilots with close strategic partners and their policy holders we can gain deeper insight into the predictive value of the data collected and collaborate strategically on how insurers take in and act on that data to create safer workplaces.
Abel Travis' discussion with Gabe Glynn about the origin of MākuSafe and real-time measurement of workplace conditions. and hazards
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.