The 2026 World Internet Conference Wuzhen Summit, opening on Nov. 2 in the historic water town of Tongxiang, will bring together technology leaders, researchers, and companies at a time when local firms are expanding AI applications from commercial cleaning and autonomous delivery to industrial control and data-center cooling. For Tongxiang, long associated with the annual internet conference, the summit is also a chance to demonstrate how local companies are commercializing AI technologies for customers at home and abroad, according to a press release distributed by Media OutReach Newswire.
Ahead of the event, reporters visited seven Tongxiang-based companies working in robotics, intelligent vehicles, synthetic data, industrial automation, logistics, and computing infrastructure. Their activities illustrate how AI is moving from laboratories into factories, airports, hospitals, and data centers, with implications for global supply chains and the competitiveness of Chinese technology suppliers.
Singapore Changi Airport earlier this year placed a fourth order for commercial cleaning robots from CenoBots, a Tongxiang-based company whose machines are used in airports, supermarkets, hospitals, factories, and warehouses. CenoBots has sold products in more than 40 countries and regions. Its customers include 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.
While CenoBots focuses on service robots, TEEMO is developing 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. Freetech 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. 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. The company said the system has increased overall efficiency by more than 20%.
Beyond mobility, Tongxiang firms are using AI to address the complexity of industrial operations. Shuhan Technologies provides on-premises industrial AI for chemical plants, energy facilities, and wastewater-treatment systems. At a coal chemical plant with annual capacity of 1.2 million metric tons, Shuhan said its system reduced raw-material consumption by 6%. The company estimated that the deployment generated more than 176 million yuan, or about $26 million, in annualized economic benefits and reduced carbon emissions by more than 500,000 metric tons. 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. According to SynthCool, its technology supports heat dissipation of more than 3,000 watts per chip and heat flux above 250 watts per square centimeter, helping reduce piping requirements and pumping demand for AI data centers.
