The first health wearable monitoring glucose non-invasively.
 
New health insights are unlocked through real time combination of signals. 
 
Precision glucose measurements without piercing the skin. This is a world's first. 
 
Why glucose? Small irregularities in glucose metabolism compound over time. The progression from healthy to disease is often imperceptible. Awareness is a powerful tool for prevention.

Health Care

Health Data

Health Diagnostics

Medical Devices

mHealth

Liom

Liom's headquarters in Pfäffikon, Switzerland

Leo Grünstein

Jason Short

Jennifer Ireland

Daniel Perotti

Bernd Wittner

Adler Perotte

The Leadership Team at Liom drives the strategic vision and operational execution of the company’s groundbreaking health wearable technology. This diverse group of experts collaborates to oversee product development, manage resources, and ensure innovative advancements in non-invasive glucose monitoring, aiming to enhance health awareness and prevention for users. Their combined expertise in engineering, science, technology, and finance enables Liom to lead the charge in revolutionizing glucose management for better health outcomes.

Leadership Team

The Photonics Engineering Team at Liom is responsible for developing and optimizing advanced optical technologies to enable non-invasive glucose monitoring. They leverage expertise in photonics to design, test, and validate innovative sensors that harness light for precise glucose measurements. This team collaborates closely with other departments to ensure seamless integration of their solutions into wearable health devices, driving advancements in preventive healthcare through real-time glucose insights.

Photonics Engineering Team

The Data Science and Machine Learning Team at Liom is responsible for developing advanced algorithms and analytical models that enable real-time glucose monitoring and insights. By leveraging vast amounts of physiological data, they strive to enhance the accuracy and efficacy of the non-invasive glucose measurement technology. The team collaborates on innovative machine learning research, refining data processing techniques, and ensuring that health insights are accessible and actionable for users—ultimately empowering individuals to prevent disease through better awareness of their glucose metabolism.

Liom

Org chart

Teams

Leadership Team

Photonics Engineering Team

Data Science and Machine Learning Team

Offices

Liom

Org chart

Teams

Leadership Team

Photonics Engineering Team

Data Science and Machine Learning Team

Offices

Related companies