Frost & Sullivan awards Shenzhen Xinkongke 'China AI Science and Technology Innovation Award'

Frost & Sullivan has awarded Anhui Shenxin Kechuang Information Technology Co., Ltd.

"China AI Science and Technology Innovation Award"

Wang Chenhui, Partner-in-Chief and President of Frost & Sullivan Greater China, and Wang Tingfu, Chairman of Xingfu Capital and an expert advisor to the Global Expert Advisory Group of Frost & Sullivan, jointly presented awards to Dr. Yang Zijiang, Chairman of Anhui Shenxin Kechuang Information Technology Co., Ltd.

Synthetic Data can effectively address industry pain points such as scarce real data, privacy security, and high annotation costs, providing an efficient, compliant, and scalable new paradigm for AI model training and optimization. The training of AI highly relies on a large amount of high-quality annotated data, but in reality, it faces fundamental bottlenecks such as low annotation efficiency, scarcity of samples in extreme scenarios, and difficulty in scaling manual annotation. Against this backdrop, Shenzhen Xinkong Technology Co., Ltd., with its profound technical accumulation and forward-looking industrial layout, has become a leading provider of synthetic data solutions in China. Since its establishment in 2019, the company has been focusing on the research and development of core AI technologies, achieving several original technological breakthroughs in key areas such as continuous learning, dynamic incentive functions, experience flow, and embodied intelligent operating systems. In 2025, Shenzhen Xinkong Technology Co., Ltd. completed Series A financing and was selected into the top 500 Chinese AI enterprises, further promoting the industrial application of synthetic data technology. In addition, the company, together with NVIDIA and Toyota Research Institute, constitutes three council units of the CARLA autonomous driving open-source simulator, leading and participating in two international standards and 18 national/industry standards. At the same time, it has deeply cooperated with leading enterprises to implement multi-scenario solutions, jointly established an Intelligent Simulation and Data Synthesis Engineering Technology Center with the Advanced Technology Research Institute of the University of Science and Technology of China, demonstrating significant advantages in industry-university-research collaboration and continuously promoting the standardized development of the industry.

In the field of synthetic data, what truly drives industry transformation is the underlying data generation technology. DeepTrust AI has independently developed a high-fidelity and highly controllable synthetic data generation system and constructed a complete toolchain from real data to synthetic data. It possesses the capability of collecting with higher bandwidth and microsecond-level time precision, as well as high-precision automated annotation models that achieve efficient and accurate data annotation and scenario reconstruction. Meanwhile, in the simulation phase, Oasis Sim significantly enhances simulation fidelity and confidence through high-precision sensor models, digital assets, vehicle dynamics models, and multi-agent behavior models. The core advantage of this platform lies in its ability to use a small amount of physical real data as 'seeds' to create synthetic data that maintains physical accuracy while being highly diverse, constructing a new data paradigm of '1% physical real data + 99% efficient synthetic data'. These synthetic data not only continue the reliability and physical authenticity of real data but also significantly increase the scale and diversity of data, thereby forming reusable and valuable high-quality data assets. This capability is of significant value in the field of embodied intelligence, such as robotics and autonomous driving, which highly rely on physical interaction.

We firmly believe that AI technology can assist in the development of autonomous driving for automakers such as Chang'an, Geely, GAC, Chery, Li Auto, and Volkswagen, as well as help industrial enterprises like CGN achieve intelligent upgrades. At the same time, with a complete set of synthetic data tools, it is widely used in fields with high data scarcity and privacy requirements, such as autonomous driving, robotics, industrial inspection, and smart healthcare. The Oasis series of products provided by XinXinKong Technology has formed a closed-loop capability from real-world data collection to simulation environment data generation. In autonomous driving scenarios, its generation technology can use real driving data as seeds to automatically create long-tail data such as extreme weather and rare traffic scenarios, systematically compensating for perception blind spots while maintaining physical accuracy; in the field of robotics, training samples generated based on physical real interaction data can significantly improve the adaptability and operational precision of models in real environments. In vertical scenarios such as industrial inspection, synthetic data technology not only overcomes bottlenecks like difficult access to real data and high annotation costs but also ensures the accuracy of generated data in terms of physical attributes, becoming a key empowering tool for AI implementation. By deeply integrating industry mechanisms and simulation environments, XinXinKong Technology is promoting the automatic exploration of potential patterns and rules through continuous interaction of embodied intelligent systems, empowering AI agents to achieve higher levels of scene understanding and decision-making capabilities in a shorter time. At the same time, the company adheres to the concept of "technology for good," actively explores AI ethics and governance mechanisms, and is committed to building safe, reliable, and transparent artificial intelligence systems.