Tongxiang, a historic water town in China, is emerging as a hub for artificial intelligence innovation, with local companies expanding their reach from commercial cleaning robots to autonomous delivery vehicles and industrial control systems. The upcoming 2026 World Internet Conference Wuzhen Summit, opening on November 2, will spotlight these developments as technology leaders and researchers gather to discuss the future of AI. For Tongxiang, the summit is not just a prestigious event but a strategic opportunity to demonstrate how local firms are turning AI research into market-ready products for customers worldwide, according to Media OutReach Newswire.
Ahead of the summit, reporters visited seven Tongxiang-based companies spanning robotics, intelligent vehicles, synthetic data, industrial automation, logistics, and computing infrastructure. Among them, CenoBots has made significant strides in commercial cleaning robots, securing a fourth order from Singapore Changi Airport earlier this year. The company’s machines are deployed in airports, supermarkets, hospitals, factories, and warehouses across more than 40 countries, with clients including Tesco, the University of Minnesota, and Novo Nordisk. This year alone, CenoBots supplied about 600 autonomous cleaning robots for Tesco Express stores in the UK. Co-founder Shen Jizhong likened the trend to the rise of electric vehicles, noting that cleaning robots are becoming increasingly common. The company has expanded its R&D and production facilities in Tongxiang from roughly 3,000 square meters to over 20,000 square meters, using local sites as testing grounds.
TEEMO is another key player, developing drive-by-wire skateboard chassis and core components for autonomous vehicles used in last-mile delivery, patrols, and logistics. Its standardized chassis can be adapted for various vehicle bodies, and one strategic customer, Zelos, was selected for all lots in China Post’s procurement of 7,000 autonomous delivery vehicles. TEEMO’s operations director, Zhang Yongjian, highlighted the potential in overseas markets where long distances and dispersed populations make last-mile delivery challenging, positioning international business as a growth driver.
In the data and perception domain, Dayan Technology provides synthetic-data and toolchain services for autonomous-driving and humanoid-robotics companies. Founded in Tongxiang in May 2025, Dayan combines real-world data collection, digital twins, and simulated training environments to help developers train robots before deployment. Its wearable devices, such as a haptic glove with liquid-metal and pressure sensors, capture hand gestures and contact force, while a multi-camera headset records visual fields and body posture. The company’s tactile-perception model processes touch signals in milliseconds, enabling robots to learn how firmly to grip objects and avoid damage.
Freetech applies sensing and decision-making capabilities to intelligent driving, developing systems and 4D imaging radar for passenger and commercial vehicles. Its ODIN AI platform supports different levels of driving automation, and the radar complements cameras in adverse weather and lighting conditions. At its Wuzhen manufacturing base, Freetech uses an in-house AI system to read customer orders and calculate material needs, boosting efficiency by over 20%. Founder and CEO Dr. Zhang Lin sees transportation combined with specialized functions as a key future direction, with applications extending to robots, elder-care vehicles, mining equipment, and agricultural machinery.
Shuhan Technologies focuses on industrial AI for chemical plants, energy facilities, and wastewater treatment. Its AI-driven control layer ingests data from sensors and autonomously adjusts operating parameters in real time. At a coal chemical plant with annual capacity of 1.2 million metric tons, Shuhan’s system reduced raw-material consumption by 6%, generating more than 176 million yuan (about $26 million) in annualized economic benefits and cutting carbon emissions by over 500,000 metric tons, according to the company.
SENAD targets logistics bottlenecks with autonomous loading and unloading robots and a multimodal logistics model called Robot Insight, serving sectors like beverages, tobacco, consumer goods, pharmaceuticals, and logistics. SynthCool addresses the heat generated by powerful processors in AI data centers. Its two-phase liquid-cooling systems use the latent heat of vaporization to remove heat, supporting dissipation of more than 3,000 watts per chip and heat flux above 250 watts per square centimeter. General manager Zhu Zhijiang emphasized that heat dissipation is infrastructure, and the technology can reduce reliance on compressor-based refrigeration and recover waste heat where practical.
Collectively, these companies illustrate Tongxiang’s growing AI ecosystem, which spans service robots, autonomous mobility, industrial optimization, and computing infrastructure. The Wuzhen Summit provides a stage for Tongxiang to showcase its ability to commercialize AI technologies, attract global partners, and contribute to the broader adoption of intelligent systems across industries.
