The 2026 World Internet Conference Wuzhen Summit, opening on Nov. 2, will bring technology leaders, researchers, and companies to the historic water town of Wuzhen, China. For Tongxiang, the host city, the summit is more than a showcase of global internet governance; it is a platform to demonstrate how local firms are turning AI research into commercial products for customers at home and abroad. Ahead of the event, reporters visited seven Tongxiang-based companies working in robotics, intelligent vehicles, synthetic data, industrial automation, logistics, and computing infrastructure, according to Media OutReach Newswire.
One of the most visible examples is CenoBots, a Tongxiang-based maker of commercial cleaning robots. Singapore Changi Airport earlier this year placed its fourth order for the company's machines, which are used in airports, supermarkets, hospitals, factories, and warehouses. CenoBots has sold products in more than 40 countries and regions, with customers including Changi Airport, British retailer Tesco, the University of Minnesota, and pharmaceutical company Novo Nordisk. This year, the company supplied about 600 autonomous cleaning robots for Tesco Express stores across the United Kingdom. "Cleaning robots are appearing in more and more settings," said Shen Jizhong, CenoBots' co-founder and vice president. "It is much like electric vehicles becoming a familiar sight on the roads — a trend that is gathering pace." The company has expanded its research, development, and production facilities in Tongxiang from approximately 3,000 square meters in its early years to more than 20,000 square meters, using local malls, hospitals, and sports venues as long-term testing sites.
While CenoBots focuses on service robots, TEEMO is developing the vehicle platforms that support autonomous mobility. The company makes drive-by-wire skateboard chassis and core components for autonomous vehicles used in last-mile delivery, patrols, and logistics. Its standardized chassis can be equipped with different vehicle bodies and hardware for specific uses. One of TEEMO's strategic customers, autonomous delivery-vehicle maker Zelos, was selected for all lots in China Post's centralized procurement program for 7,000 autonomous delivery vehicles. TEEMO's customers already span the United States, the Middle East, India, and Russia, said Zhang Yongjian, the company's director of operations. "In some overseas markets, distances are long, populations are dispersed and last-mile delivery is difficult to staff," Zhang said. "Autonomous delivery vehicles have strong potential there, and overseas business will become an important growth driver for us."
Other Tongxiang companies are concentrating on the data and perception systems that allow machines to function in physical environments. Dayan Technology, founded in Tongxiang in May 2025, provides synthetic-data and toolchain services for autonomous-driving and humanoid-robotics companies. It combines real-world data collection, digital twins, and simulated training environments to help developers train robots before they are deployed. Its wearable devices record human movement and interactions with objects. A haptic glove uses liquid-metal and pressure sensors to capture hand gestures, finger movements, and contact force, while a multi-camera headset records a user's visual field, body posture, hand movements, and the position of nearby objects. Dayan said its tactile-perception model can process touch signals in milliseconds, helping robots learn how firmly to grip an item, recognize when it is slipping, and apply force without causing damage.
Freetech is applying related sensing and decision-making capabilities to intelligent driving. The company develops intelligent-driving systems and 4D imaging radar for passenger and commercial vehicles, and said its technology has been selected for hundreds of vehicle programs. Its ODIN AI platform supports products at different levels of driving automation, and its radar is designed to complement cameras in heavy rain, fog, darkness, and abrupt changes in light. At its intelligent-manufacturing base in Wuzhen, Freetech is also using AI in production. An in-house system reads customer orders and calculates the components and materials needed for each production line before manufacturing begins, increasing overall efficiency by more than 20%, according to the company.
Beyond mobility, Tongxiang firms are using AI to address the complexity of industrial operations. Founded in 2019, Shuhan Technologies provides on-premises industrial AI for chemical plants, energy facilities, and wastewater-treatment systems. Its AI-driven control layer continuously ingests data from central control systems and field sensors, identifies dynamic conditions, and autonomously adjusts operating parameters in real time. At a coal chemical plant with annual capacity of 1.2 million metric tons, Shuhan said its system reduced raw-material consumption by 6%, generating more than 176 million yuan (about $26 million) in annualized economic benefits and reducing carbon emissions by more than 500,000 metric tons. SENAD is targeting bottlenecks in logistics operations, including loading, unloading, sorting, and pallet handling, with autonomous loading and unloading robots and a multimodal logistics model called Robot Insight.
Tongxiang's AI sector also includes companies addressing the infrastructure needed to run increasingly powerful computing systems. SynthCool is tackling a basic constraint of the AI boom: heat. The company develops two-phase liquid-cooling systems to address the heat generated by increasingly powerful processors. Inadequate cooling can trigger thermal throttling, reducing performance and energy efficiency. "Heat dissipation is infrastructure," said Zhu Zhijiang, SynthCool's general manager. SynthCool's two-phase cooling technology uses the latent heat of vaporization to remove heat from processors. According to the company, its technology supports heat dissipation of more than 3,000 watts per chip and heat flux above 250 watts per square centimeter. Under comparable cooling requirements, the system requires approximately one-third of the flow needed by conventional single-phase water-cooled cold plates, helping reduce piping requirements and pumping demand.
