The future of
painless glucose monitoring
AI-driven, non-invasive
Continuous Glucose Monitoring
- Non-invasive AI
- Needle-free monitoring via advanced signal intelligence.
- Always-on visibility
- Effortless, real-time glucose tracking at a glance.
- Dynamic living
- Tailor your diet and exercise with data-driven clarity.
- Preventive care
- Anticipate health shifts with early fluctuation detection.
How does it work
Non-invasive CGM
The world’s first NI-CGM integrates digital biomarkers and AI algorithms to manage comorbidities such as obesity, mental health issues, and cardiovascular disease.
ECG Sensor, apps and software
We utilize a single wearable device for tracking daily glucose variations and monitoring mental anxiety levels. Our apps and software offer visual insights, highlighting potential health concerns.
Non-invasive CGM vs
traditional methods
Compared with traditional methods, ECG-based glucose monitoring has more potential on development for long-term and expanded applications.
Non-invasive CGM
- Non-invasive
- Continuous monitoring
- No calibration
- No waste, no pollution
Traditional CGM
- Invasive
- Continuous monitoring (latency)
- Calibration required
- Generates waste, pollution
Fingerstick Sample
- Invasive and painful
- Non-continuous monitoring
- -
- Generates waste, pollution
Correlation between ECG and blood glucose level
In the time chart, we observed a clear negative correlation between glucose levels and certain ECG features.
We have analyzed glucose data from different subjects and found a high correlation with certain ECG features, regardless of whether blood sugar levels are low or high.
We are now patented!
Taiwan Patent No. 916724
非侵入式血糖估算的方法與運算裝置、非侵入式 ECG 訊號量測裝置，以及非暫時性電腦可讀記錄媒體
JapanPatent No. 7777663
Methods and Computing Devices for Non-Invasive Blood Glucose Estimation, Devices for Non-Invasive ECG Signal Measurement, and Non-Transitory Computer-Readable Recording Media