Your cells emit light.
We learned to read it.

The Science

Cancer has a light signature.

Every cell in your body emits faint light as a byproduct of metabolism. These signals are invisible to the eye, but real and measurable.

Cancer cells process energy differently. The light they produce shifts: altered wavelengths, changed intensity. This happens at the metabolic level, before any mass forms.

Dr. Nirosha Murugan spent a decade building technology that reads these signals with enough precision to identify cancer at 100-200x fewer cells than standard imaging.

The Scan

We built the tool to read it.

We've built prototype devices and validated them in peer-reviewed studies. Now we're developing the clinical version.

A patient sits in a dark room for about fifteen minutes. A sensor reads the faint light coming off their body. AI analyzes the signal. Same visit, same day.

No blood draw. No biopsy. No radiation.

Two systems. One signal.

Hardware

QSense™

A sensor array sensitive enough to count individual photons from living tissue. Non-invasive, radiation-free, and designed to detect cancer signals before a tumor forms. Dark, controlled environment. No contact with the body. Fifteen minutes.

Current Status: Functional prototype built and ready for human studies.

Software

LuminAI™

AI trained on 10 years of data from cell and animal models. It processes roughly a million data points per scan, analyzing photon counts, wavelength ratios, and emission timing to distinguish healthy tissue from cancer. Real-time results. The system refines its accuracy with every dataset it processes.

Current Status: Fully developed code, integrated with hardware.