Kernel develops non-invasive neuroimaging systems based on functional near-infrared spectroscopy (fNIRS) to support high-density monitoring of brain activity. The company’s Flow platform is designed to measure cortical hemodynamics at scale using wearable, laboratory-compatible hardware. Its approach emphasizes data quality and repeatability for extended recording sessions. Kernel positions its technology within neuroscience research and applied cognition contexts.

The technology measures changes in oxygenated and deoxygenated hemoglobin to infer neural activity across distributed cortical regions. High-density sensor configurations enable richer spatial sampling compared to conventional fNIRS systems. The platform is designed to support synchronized data collection alongside behavioral or physiological measures, enabling integrated analysis of brain function. This approach prioritizes robustness and consistency over portability for field use.

Kernel targets applications in cognitive neuroscience, brain health research, and exploratory human–computer interface development. The Flow system is intended for research and investigational use rather than clinical diagnostics or consumer wellness. Its positioning reflects growing interest in scalable, non-invasive neuroimaging tools that can support large datasets and longitudinal studies of brain function.