Kongxin Technology's Q3 report shows double growth in revenue and profit, with highway freight autonomous driving conducting multi-scenario testing

On the evening of October 22, China TransInfo Technology (002373.SZ) released its 2026 third-quarter report. In the third quarter, the company achieved operating revenue of 1.985 billion yuan, up 2.01% year on year; net profit attributable to shareholders of the parent company was 77.6727 million yuan, up 304.03% year on year. During the reporting period, the company continued to advance its "AI + transportation" development strategy and promoted the optimization of its revenue structure. The company's earlier R&D investment in new-quality businesses such as AI large models, agents and autonomous driving is gradually translating into product competitiveness, and the strategic results are becoming evident. The company announced the same day that it plans to use its own funds to jointly invest in an industrial fund with professional investment institutions as a way to deploy high-quality resources across the upstream and downstream of the industrial chain.

During the reporting period, the expansion of the company's domestic main products and international business revenue drove an overall increase in gross profit. By business segment, the digital IoT business continued to see both revenue and gross margin grow; the digital transportation business saw steady order growth, and during the period it successively won the Tibet TOCC (Traffic Operations Coordination Center) project, the Ningbo–Jinhua section of the Yongjin Expressway reconstruction and expansion project, and the Beijing road traffic signal light project.

The announcement stated that the Tonglu Ancheng Zhichuang Equity Investment Fund that the company plans to subscribe to covers high-end equipment manufacturing, express logistics, visual intelligence, new energy and other directions, with an initial scale of 400 million yuan; the state-owned platform of Tonglu County, Hangzhou, Zhejiang accounts for 70%, and China TransInfo Technology plans to subscribe a 29.00% share. The company believes that using the investment fund to deploy in fields related to and synergistic with its main business will help build reserves of upstream and downstream resources in autonomous driving, transportation energy replenishment, visual intelligence and other areas, and strengthen the "vehicle–road–transport–energy" highway freight autonomous driving ecosystem; on the other hand, relying on the real business scenarios concentrated in Tonglu as the birthplace of express logistics, it will promote the company's unmanned capacity services for highway freight autonomous driving from technical demonstration to commercial operation.

Dual large models "Wutong" and "Kunchao" lay the foundation and empower; the signal control agent has been deployed at more than 100 intersections in Beijing

During the period, the company continued to increase R&D investment in "AI + transportation", using the dual large models "Wutong" and "Kunchao" as the technology base, deeply integrating large-model capabilities with years of accumulated industry experience and scenario data, and promoting the implementation of agents in urban transportation, highway transportation and digital IoT.

In the urban transportation field, the company's "Kunchao · Signal Control Agent" has now been deployed at 102 intersections in Chaoyang District, Beijing, helping Beijing become the first city in China to implement a fully closed-loop autonomously operating signal control agent. With its complete product architecture and effective engineering implementation, the product passed the agent quality grading test of the China Software Testing Center (CSTC), and its comprehensive technical capability was rated the highest level, "Level 5", making it the first transportation agent in the country to receive this certification.

In the highway transportation field, the company has deployed a number of agent products around subdivided scenarios such as road network operation forecasting and highway inspection and maintenance, using intelligence to replace a large amount of repetitive work, freeing up manpower to focus on high-value business, and exploring a new path for cost reduction and efficiency improvement in the transportation industry.

In the digital IoT field, subsidiary Uniview uses the Wutong large model, which integrates computer vision, natural language processing and multimodal capabilities, as its technology base, and continues to advance in more than 10 industries including transportation, culture and tourism, education, industrial safety and sports events. Taking the "AI + industrial safety" side as an example, the company has deepened cooperation with Jinchuan Group, deploying more than 4,000 intelligent perception devices for scenarios such as mining, smelting, chemicals and logistics, helping park safety management upgrade from "human management" to "intelligent management"; at the same time, the company built a safety intelligent analysis and early warning system for a large steel enterprise in Shandong, solving problems such as incomplete coverage and delayed response in traditional manual inspections.

Based on the Wutong large model, the company has created a "lightweight AI livestreaming solution" on the "AI + sports events" side, achieving hour-level deployment through "lightweight capture × cloud-based production × AI application". In the third quarter, the "Owl" (panoramic intelligent sports camera) entered 96 venues of the "Zhejiang BA" (Zhejiang Provincial City Basketball League); the AI-assisted commentary agent "Yu Dazui" completed its commentary debut at the Jiangsu BA (Jiangsu Provincial City Basketball League); in football, it served provincial mass football events such as the Jiangsu Super League (Jiangsu Provincial City Football League) and the Wuyue Cup (Zhejiang Provincial City Football League).

Highway freight autonomous driving: continuous ecosystem deployment across vehicle, road, transport and energy, and testing in diverse freight scenarios

As the core track of the company's "AI + transportation" strategy, highway freight autonomous driving continues to improve its ecosystem layout around "vehicle, road, transport and energy", creating an "artery–branch coordination" end-to-end unmanned freight model. On the vehicle side, relying on a three-dimensional technical system of "roadside blind-spot supplementation + vehicle-side decision-making + cloud optimization" with single-vehicle intelligence as the main approach, it is working with partners such as Foton Caven to carry out verification of new energy heavy truck platforms and autonomous driving technology; on the road side, it is exploring test demonstration routes and vehicle-road-cloud coordination in Southwest China, while working with Shimeng IoT to build "warehouse–production plant" short-haul transport pilots in Beijing Yizhuang and Hohhot, Inner Mongolia. On the energy side, it leverages an ecosystem covering energy service outlets in 25 provinces across the country to build a nationwide heavy truck energy replenishment network.

Since the beginning of this year, the company has carried out unmanned logistics operation tests in diverse freight scenarios such as plant/warehouse short-haul transport, intercity trunk lines and complex mountainous urban freight. Recently, the company's highway freight autonomous driving business has expanded into Sichuan and Chongqing, working with the Yongchuan District government and Chongqing Logistics Group to further expand demonstration operations for highway collection and distribution scenarios based on the Yongchuan rail-water intermodal corridor.

In the first three quarters, the company accelerated the advancement of its international business: in Africa, it successfully implemented a key smart transportation project in Nouakchott, the capital of Mauritania, helping to advance national-level smart transportation development; in Europe, it won a project with a well-known French retail supermarket chain, covering 150 stores. In Central Asia, the company signed the Framework Cooperation Agreement on Digitalization of Intelligent Transportation and Logistics Projects with KazAvtoZhol, Kazakhstan's national highway company, to carry out in-depth cooperation in areas such as digitalization of highway freight and localized production of intelligent equipment, and signed a memorandum of cooperation with the Kazakhstan Highway Research Institute (KazDorNII) to conduct technical exchanges and scientific research cooperation in areas such as improving highway traffic efficiency, cross-border freight safety management and control, and energy support. This project has become an important anchor for the company's digital transportation solutions to expand into Central Asia.