Shenzhen, China · Companies

Deyee

Deyee Healthcare Robot develops AI-powered physiotherapy and wellness robots that integrate traditional Chinese medicine principles with modern robotics technology. Based in Shenzhen’s Bao’an District, the company has built a product portfolio spanning moxibustion therapy, shockwave treatment, ultrasonic healing, and multi-modal physiotherapy systems deployed across hospitals, rehabilitation clinics, and wellness centers.

Company Overview

Operating from Jia’an Tech Park in Shenzhen’s Bao’an District, Deyee positions itself at the intersection of traditional Chinese medicine and artificial intelligence. The company’s core technical platform combines 6-axis bionic robotic arms with AI vision algorithms capable of autonomous acupoint recognition—a capability that enables their systems to replicate traditional therapy techniques with mechanical precision and consistency.

Deyee’s approach addresses a practical challenge in TCM-based physiotherapy: the labor-intensive nature of traditional treatments and the variability inherent in manual application. By automating acupoint identification and standardizing treatment delivery, the company’s robots aim to extend therapeutic capacity while maintaining treatment quality across multiple simultaneous sessions.

The company has reportedly received approval for deployment in hospitals, community health centers, and rehabilitation clinics in China, though specific regulatory certification details remain to be confirmed. Their products also serve the commercial wellness market, including SPA facilities and beauty centers seeking to offer technology-enhanced treatment experiences.

Core Products

AI Shockwave Robot (DY-C1)

The DY-C1 delivers high-energy shockwave mechanical stimulation for deep tissue therapy. Targeting muscle rehabilitation and pain management, the system uses controlled acoustic waves to stimulate cellular biology, improve circulation, and accelerate tissue healing. The robotic delivery mechanism ensures consistent pressure and positioning across treatment sessions.

STONE Moxibustion Robot (DY-S1)

Combining a 6-axis bionic robotic arm with AI vision algorithms, the DY-S1 performs traditional moxibustion therapy with automated precision. Key features include smokeless moxibustion design with integrated flue systems, automatic ignition and ash removal, intelligent temperature control, and the ability to replicate five classical moxibustion techniques: hovering, reciprocating, gyratory, meridian-following, and bird-pecking movements.

ULTRO-SONIC Therapy Robot (DY-U1)

The DY-U1 applies non-invasive ultrasound for therapeutic heating effects. Using the thermal and mechanical properties of high-frequency sound waves, the system targets deep tissue layers to promote vasodilation, enhance metabolism, reduce inflammation, and support rehabilitation outcomes.

Polyenergy-King Physiotherapy Robot (DY-H3)

A multi-modal therapy platform that integrates multiple treatment technologies including heat therapy, radiofrequency, and AI-driven personalization. The system represents Deyee’s approach to full physiotherapy solutions that combine several therapeutic modalities in a single robotic platform.

Technology & Innovation

Deyee’s technical architecture centers on several key components:

6-Axis Bionic Robotic Arms: Designed to approximate human hand flexibility and strength, these arms enable precise positioning and adaptable movement patterns essential for therapy applications requiring nuanced pressure control.

AI Vision and Acupoint Recognition: Machine learning algorithms analyze body contours, identify meridians, and locate acupoints with claimed high accuracy. This automation reduces dependence on practitioner expertise for basic positioning tasks.

Cloud Connectivity (DEYEE Health Cloud): Connected systems enable remote monitoring, data collection for treatment optimization, and the potential for telehealth integration where therapists can oversee treatments remotely.

Multi-Modal Therapy Integration: The platform architecture supports integration of various therapeutic technologies—ultrasound, shockwave, moxibustion, heat, and radiofrequency—allowing product variants to address different clinical and wellness applications.

Market Presence

Deyee serves multiple market segments with distinct requirements:

Clinical and Rehabilitation: Hospitals and rehabilitation centers represent the company’s primary medical market, where consistent treatment delivery and reduced labor requirements offer operational benefits.

Wellness and SPA: Commercial wellness facilities use Deyee systems to differentiate their service offerings with technology-enhanced treatments, particularly in moxibustion and massage applications.

Consumer Wellness: The company has indicated aspirations to develop more accessible systems for home use, though the current product line primarily targets professional settings.

Geographic reach extends beyond China through international distributor networks, with products available through various online and specialty medical equipment channels.

Frequently Asked Questions

What types of robots does Deyee manufacture?

Deyee develops AI-powered physiotherapy robots including moxibustion therapy systems (DY-S1, DY-Q1, DY-I5), shockwave therapy robots (DY-C1), ultrasonic treatment systems (DY-U1), and multi-modal physiotherapy platforms (DY-H3). All systems incorporate 6-axis robotic arms and AI-based positioning technology.

Where are Deyee’s products used?

According to company information and third-party reports, Deyee products are deployed in hospitals, community health centers, rehabilitation clinics, SPA facilities, and wellness centers. The systems are manufactured in Shenzhen and distributed internationally.

Does Deyee’s moxibustion robot produce smoke?

Deyee’s moxibustion robots (DY-S1 and related models) feature smokeless designs with integrated flue systems and smoke purification technology. The systems are designed to retain therapeutic effects while minimizing smoke exposure through automatic smoke cleaning and filtration.

Last modified: January 16, 2026

Sources

Publicly available references used for the data on this page. See data methodology for verification standards.