Robotics Connectivity Startup Qianjing Tech Raises Funds

A new player in the robotics and unmanned systems sector, Shanghai Qianjing Technology Co., Ltd., has successfully closed a significant pre-Series A funding round, securing tens of millions of Renminbi. The investment was exclusively provided by venture capital firm Qiying Tongchuang. This capital infusion is earmarked for the advancement of the company's proprietary edge-side communication intelligence model, dubbed the 'Connectivity Brain,' and for the commercialization of its integrated software and hardware toolchain.

As autonomous systems increasingly permeate real-world operational environments like industrial parks and manufacturing floors, the industry's focus is shifting from mere mobility to robust connectivity. The reliance of robots and drones on wireless networks for critical data exchange and synchronized operations presents a persistent challenge. Issues such as signal latency, data packet loss, and transmission instability can severely compromise system reliability and performance in complex physical settings.

While many industry participants are exploring solutions from the network infrastructure level, Qianjing Technology is pioneering an alternative approach by embedding intelligence directly at the device's edge. Their innovative strategy involves deploying AI models on the devices themselves, enabling them to actively monitor and adapt communication strategies in response to dynamic and often challenging network conditions. This proactive, device-centric method aims to ensure seamless data flow even in environments with fluctuating wireless quality.

The core of Qianjing Technology's offering lies in its sophisticated wireless environment digital twin perception and edge-side communication decision-making frameworks. The company leverages advanced simulation techniques, including ray tracing, to meticulously model electromagnetic signal propagation within physical spaces. This allows for the creation of highly accurate digital replicas of wireless environments, providing a deeper understanding of signal behavior than traditional statistical analysis methods. The efficiency of their data generation process rivals real-world 5G/6G speeds, with frame generation cycles as short as 500 microseconds, supported by an extensive library of electromagnetic material parameters.

The 'Connectivity Brain' AI model acts as the central intelligence unit on the device. It integrates data from the robot's communication hardware, onboard sensors, and navigation systems, alongside the detailed wireless environment models. This comprehensive data allows the AI to accurately assess the current communication status. For instance, if a robot encounters an area with degraded signal strength, the 'Connectivity Brain' can autonomously initiate adaptive measures. These might include rerouting the robot's path, seamlessly switching to alternative communication links, or intelligently compressing data streams to maintain operational continuity and task execution integrity.

Prior to this funding, Qianjing Technology had already demonstrated the utility of its wireless environment digital twin technology in communication testing for major players in the mobile chip and automotive sectors. These applications focused on creating realistic simulation environments for evaluating device communication performance. The current funding round signifies a strategic pivot towards commercializing the edge-side 'Connectivity Brain' as a distinct product. The company plans to offer this solution as integrated hardware modules or software licenses, designed for straightforward incorporation into robotic and unmanned platforms to bolster their network resilience.

The company's leadership brings a wealth of expertise. Founder and CTO Yu Junyi previously held a senior product expert role at Beijing Samsung Communication Technology Research Co., Ltd., contributing to significant 5G projects. CEO Hao Junru brings extensive experience from the digital industry and investment sector. With a dedicated engineering team of approximately 15 full-time professionals and a research cohort exceeding 30 individuals, Qianjing Technology possesses robust capabilities in both product development and engineering implementation.