Dr. Esteban Bayro-Kaiser, Diego Soliño Fernández, Stefanos Trialonis 
Location: Germany


3rd Open Call


EDI-2020-22-IBERMUTUA: Use of Machine-Learning Algorithms in improving control of cardiovascular risk factors

Product Description

WearHealth’s Workforce Monitoring Platform helps organizations promote the highest safety and health standards while improving productivity by mapping hidden human risks in real-time with wearables/IoT and using AI-driven insights to move from reactive to proactive and predictive prevention.

Their proprietary AI algorithms map, predict and correlate workload with operational activities so that companies can increase worker engagement and reduce S&H risks while reducing operational mistakes and, thus, improve productivity.

With their intelligent platform managers can identify the requirements for creating an appropriate environment with higher quality of life for workers, e.g, by measuring the workload of each station and adapting, rotating the workforce based on an optimum workload level.

Discover the product’s business and technical approach:

Company description

WearHealth‘s mission is to be the worldwide reference for safety and health in the Industry 4.0.

The technology was developed by expert data scientists and engineers with profound know-how in processing sensor data and more than 10 years of R&D. The team has created a self-learning platform that improves as it analyzes new streams of data. 

Their solution has already obtained a very good response from the market, in fact, it is already being tested by EU leading industrial customers in Spain, Italy, France, Austria and Germany.

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