Our mission:

Empower sustainable workplaces for today and tomorrow

How it all began

WearHealth is a spin-off from the Institute for Artificial Intelligence in Bremen, Germany, where the core technology was validated based on more than 10 years of research in AI, machine learning, and wearable computing.

Our pillars for human centered solutions

Innovation

Cutting-edge technology based on extensive research and infield validations.

Industry standards

Our solutions consistently meet and exceed the highest standards, adhering to validated guidelines to ensure their effectiveness and reliability.

Research

To remain at the forefront of innovation, we foster continuous development of our technology by collaborating with renowned researchers and industry leaders

A multidisciplinary team of experts

CEODr. Esteban Bayro-Kaiser
PhD in AI and Wearable Computing

CTOStefanos Trialonis
M.Sc. Media-Informatics

Lead ErgonomistDiego Soliño
MBA in Business and Health

Project ManagerDr. Barbara Andreon
PhD in Production Engineering

DevelopmentShahin Mohammed Faroqe
Lead Mobile Application

Biomedical EngineerAlexandra Urbano

Lead UI/UX & Front-end developmentAndrea Scotto Di Minico

Research assistantBruna Johann Barbiero
Materials Engineering

Data EngineerBTobias Dellert

Full Stack DevelopmentG. M. Nazmul Hossain

Our advisors

Prof. Dr. Michael LawoResearch Advisor

María del Carmen RialM.Sc. Media-Informatics

Alfonso Melon NicolasM.Sc. Media-Informatics

Enrico Gianluca CaianiHealth and Biomedical Engineering Advisor

Prof. Dr. Wolfgang RenzMedical Advisor

Dr. David DeanStrategy Advisor

How it
works?

Our step-by-step workflow focuses on understanding your company’s problem and bringing to you the right solution to improve your workplace safety.

Need
analysis

First, we use our data collection App, a tool that combines video recordings and task descriptions to identify potential risks and implement effective injury prevention strategies.

Solutions
validation

After choosing the potential solutions, their effectiveness, usability, and integrability are assessed using a combination of objective and subjective data.

Implementation
and optimization

Finally, we assist you in implementing the solution and continuously optimize risk reduction in your workplace through the utilization of our sensor and AI-driven technology.

Our research partners

To remain and the forefront of technology, we work closely with renowned research institutions in innovative projects in the area work AI, safety, health, and process engineering.