With the rapid integration of wearables and IoT systems, healthcare is undergoing a paradigm shift — from episodic diagnosis to continuous, data-driven monitoring and timely intervention. We are building technologies including advanced System-on-Chip (SoC), Artificial Intelligence and Edge Computing to deliver unprecedented health monitoring capabilities in these systems.
Built on advanced power management architectures, our chipset modules ensure ultra-efficient energy utilization. They dynamically balance performance and power to support continuous health monitoring, enabling wearable devices to operate for extended durations on a single battery charge.
Equipped with an analog front end supporting multiple health vitals, our chipset enables highly integrated wearable designs — minimizing system size, power requirement, and overall manufacturing cost. The integration of multiple vitals in one device enables medical practitioners to do more seamless and holistic assessment of patient health.
The upcoming Energy Harvesting Chipset Technology is designed to harness ambient energy sources and convert them into reliable power. Through intelligent energy management and delivery, it extends operational life across wearable, implantable, and IoT systems.
Powered by Edge AI, our models continuously analyze physiological signals in real-time, enabling early detection of potential health risks and proactively safeguarding user well-being.
AI/ML models suppress ambient noise and maintain biosignal integrity. An extensive suite of algorithms then analyzes physiological data in real-time, identifying potential health risks early to enable timely medical intervention and improve quality of life.