As technology and healthcare increasingly converge, Chinese startup Feipu Tech is exploring how non-invasive health check technologies can become part of everyday life. By combining consumer-facing AI with computational biology models, the company aims to make health monitoring faster, more accurate, and more accessible outside traditional medical settings.
Feipu’s devices are designed for simplicity and speed. Users can collect and analyze multiple key health indicators in seconds, with applications ranging from individual use at home to workplaces, gyms, and community health stations. This approach reflects a broader shift toward more convenient and continuous health management.

Health checks enter everyday life with a 10-second facial scan
The Feipu non-invasive health check robot integrates multiple technologies, including multimodal optical tomography and its self-developed FEIPU MiLC (Multimodal Integrated Language Computing) engine. According to the company, the device can complete non-invasive measurements of key physiological indicators—such as blood pressure, blood glucose, blood lipids, hemoglobin, and BMI—in about 10 seconds.
The device is designed for simple, self-service use. A user stands naturally in front of the robot, which is about the size of a TV screen, aligns their face with the scanning area, and the system automatically collects facial and subcutaneous optical signals. The AI engine processes this data in real time and generates a personalized report, which includes key health indicators, risk alerts, and lifestyle recommendations.
The company reports that the data shows an overall accuracy rate of over 85%, with some indicators (such as blood pressure and blood glucose) reaching around 95%, approaching the performance of certain Class II medical devices of China.
Compared with traditional health check procedures, this device does not involve blood draws or complex operations. However, its real-world performance still requires further validation through independent studies and long-term data.

A health ecosystem from homes to communities
The Feipu robot’s lightweight body, about the size of a 32-inch TV, makes it suitable for homes, gyms, workplaces, senior care facilities, and community health stations.
At home, elderly family members and children can perform self-checks, with data synced to the cloud to create long-term health records. In workplaces, it provides basic health monitoring to track employee well-being and support occupational health management.
In community or public service settings, the device can be used in partnership with relevant institutions, allowing residents to conduct self-service health screenings and contribute data to public health platforms.
Life mirror platform and health technology exploration
The company has developed the Human Life Mirror computing platform, which integrates multimodal sensing, deep reinforcement learning, and large-scale biological data algorithms. This allows the device to continuously optimize its performance based on usage data, as terminal-collected information feeds back into the AI model and improves detection accuracy over time.
Building on this platform, the company is also exploring applications such as early cancer screening, immune system assessment, and auxiliary diagnostic robots. It has launched the company’s first genome-scale SNP analysis model, SNPBag, to support large-scale biological data analysis and research.

Social impact of making health management natural
Feipu Tech aims to make health monitoring as simple as checking the weather. As the company’s founder, Tang Kun, puts it, “We are using technology to give everyone the ability to become a life scientist.”
Under the Healthy China initiative, Feipu Tech is leveraging non-invasive health check technology to tap into the trillion-yuan health management market. The closed-loop system of “detection, alert, and intervention” provides a reference point for industry practices and applies life science research findings in everyday settings.
