Truly non-invasive glucose monitoring

Powered by RF-Modulated Light and Physics-driven Machine Learning

We are bringing together cutting-edge optical sensing hardware and simulation-driven machine learning to deliver seamless and reliable non-invasive glucose monitoring.

Our system is built from ultra-compact optical and electronic components that have been engineered for low power consumption and a small footprint.

Wearable form factor


Scima Band is designed to deliver accurate glucose readings for everyone, regardless of skin tone, body composition, or other physiological differences. Our technology minimizes the effects of skin pigment and body fat, ensuring consistent, trustworthy results across diverse users.

Accuracy despite physiological variability


Unlike other devices that need frequent fingerstick calibration, Scima Band is designed to work with minimal setup. Our physics-grounded approach keeps readings stable, so you can focus on living your life, not recalibrating your device.

Minimal calibration


Percent time in range

Real time glucose status

Glucose trends

Blood sugar trends provide understanding between daily activities and glucose levels.


Spike Detection prevents emergency glycemic events.


Diabetics need to ensure a 70% Time-in-range (TIR) for condition stability

Team Scima

Sai Panigrahy

Semiconductors and sensing technologies

Matthew Chen

Systems engineering and medical device regulations

Aiden Lewis

Photonics modeling and signal processing

Building Scima with deep knowledge in biosensing, medical devices, and optical modeling.

We’d love to hear from you. Whether you’re a potential partner, an investor, or simply curious about our mission, we’re always open to conversations.