From IoT Data to Decision: Supporting Safety and Health Intelligence

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What We Do

WearHealth uses artificial intelligence, wearables and IoT to help companies improve and manage workers' safety and health. With our intelligent platform companies can improve their productivity, operational efficiency, and reduce costs since we enable them to:
Protect and Manage the workforce based on the individual risk levels of the workers and their environment.
Predict and Identify markers of occupational risks, health, workload and work efficiency in real time.
Prevent and Anticipate the risks of accidents and diseases at work by understanding the root cause before and after they happen.

Our Intelligence

cloud-computingAI & Machine Learning

Our system is built with proprietary algorithms and cutting-edge cognitive technologies.

cloud-computingSignal Processing
We apply a decade's worth of practical knowledge on translating signal and timeseries data into meaningful information.
cloud-computingAnomaly detection
Our algorithms are able to identify events or states over time that go beyond of what would have been statistically expected.
cloud-computingPredictive Analytics
By modeling IoT and contextual data, we are enabling the discovery of trends and provide actionable insights.
cloud-computingPattern Recognition

We find similarities and trends in unstructured data to detect changes at an early stage.

cloud-computingGesture recognition
By analyzing motion data from wearables we are able to identify specific human movements and interpret actions.

Why We Do It

We want to make the world a safer and healthier place to work in. We believe that technology, such as artificial intelligence, wearables and IoT is a great means of achieving it.

Use Cases

Risk Assessment for Insurances

Providing analytics from wearables and health data to improve risk assessment and enable insights for personalized services.

Workers Safety Analytics

Providing real-time safety analytics to workforce managers for anticipation and reduction of risks of workers’ injuries by detecting fall detection, measuring stress levels and automating communication.

Predictive Analytics in Health

We provide insights and alerts based on patients’ timeseries data in order to better assess their health progress, in accordance to their unique health profiles.

We Are A Professional Team

  • We are a team of expert data scientists and machine learning engineers driven by the mission of

    #Proactive Safety and Health

  • We are a team of expert data scientists and machine learning engineers driven by the mission of

    #Saving Lives

  • We are a team of expert data scientists and machine learning engineers driven by the mission of

    #Workers Safety and Health

Tell us your project and let's make it a reality together.

Our team of technical experts can answer all your questions.