
Revlis Biotech Company Ltd. is an AI technology provider focused on developing diverse physiological parameters and applications in the ECG field. They offer professional technical support, customized software development, and big data operations services, providing innovative and affordable solutions for personal health management and tracking. Their core product, AI-GLU®, utilizes a multi-dimensional AI core algorithm, combining ECG with unique sensors and a big data database to measure various physiological indices including blood glucose and HbA1c. A key innovation is their non-invasive (contactless) blood glucose measurement technology. Revlis provides end-to-end solutions including smart terminal devices/modules, SaaS open architecture system platforms, and AI algorithm engines, catering to customized development needs for digital health management. They have achieved significant traction with over 150,000,000+ cumulative ECG measurement seconds, 5,000,000+ cumulative ECG measurement times, and 4,000,000+ cumulative ECG monitored symptoms.

Revlis Biotech Company Ltd. is an AI technology provider focused on developing diverse physiological parameters and applications in the ECG field. They offer professional technical support, customized software development, and big data operations services, providing innovative and affordable solutions for personal health management and tracking. Their core product, AI-GLU®, utilizes a multi-dimensional AI core algorithm, combining ECG with unique sensors and a big data database to measure various physiological indices including blood glucose and HbA1c. A key innovation is their non-invasive (contactless) blood glucose measurement technology. Revlis provides end-to-end solutions including smart terminal devices/modules, SaaS open architecture system platforms, and AI algorithm engines, catering to customized development needs for digital health management. They have achieved significant traction with over 150,000,000+ cumulative ECG measurement seconds, 5,000,000+ cumulative ECG measurement times, and 4,000,000+ cumulative ECG monitored symptoms.