WearHealth

  • Start date

    2019

  • Esteban Bayro Kaiser

  • Stefanos Trialonis

WearHealth helps industrial companies to improve workers safety, health and productivity by detecting emergencies and hidden risk factors in real-time with AI and IoT/Wearables. Their intelligent technology is based on property machine learning algorithms that analyze data from off-the-shelf devices such as smart watches, smart shirts and cameras and provide real-time insights to better manage critical situations and proactively prevent accidents, incidents and absenteeism at work.

With the support of the agile accelerator, the startup seeks to empower E.ON’s Occupational Safety and Health departments to keep their workers returning back home safe and healthy every day.

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