The core team has over 16 years of accumulation and innovation in sensor fundamental technologies, electrochemical principles, material processes, and medical device development. Based on electrochemical reaction principles, the technology converts the concentration signal of the biochemical component to be measured into a quantifiable electrical signal. It features high sensitivity, good selectivity, fast response speed, strong anti-interference capability, and miniaturization, enabling quantitative analysis of trace substances. It is widely used in biomarker detection, environmental monitoring, medical biochemical analysis, and other scenarios. The structure is simple and well-suited for the development of portable detection devices.

Integrating MEMS microfabrication, flexible biocompatible materials, wireless power transfer technology, and miniaturized sensor technology, it enables continuous collection of core, critical, deep physiological signals from inside the human body. It offers advantages such as high biocompatibility, low immune rejection, ultra-low power consumption, resistance to in-body interference, and long-term stable operation, supporting applications such as precision medicine, chronic disease management, rehabilitation and diagnostic treatment, interventional diagnosis and therapy, and real-time sensing of in-body physiological parameters.

Leveraging micro-scale fluidic control chips, it precisely manipulates trace fluid samples, integrating sample processing, reaction, separation, and detection into one system. It miniaturizes, integrates, and automates traditional laboratory biochemical processes, offering advantages such as low sample consumption, high detection efficiency, low cost, and strong portability. It is widely used in fields such as in vitro diagnostics, single-cell analysis, drug screening, organ-on-a-chip, and point-of-care testing.

Built around ultra-low-power chips, intelligent power management, sleep/wake architectures, and low-power wireless communication, it integrates various types of miniature sensor modules. Through hardware process optimization, algorithmic computing power scheduling, and lightweight design, it significantly reduces overall device energy consumption while accurately collecting physiological signs and motion data. It balances flexible wearability, miniaturization, and long battery life, with applications in both consumer health monitoring and medical-grade wearable monitoring.