Beijing Token Factory, financing 1 billion

Zhidongxi Author | Wang Han Editor | Xinyuan Zhidongzhi reported on July 13 that today, AI Token production and service provider Approaching.AI officially announced the completion of Series A financing. Within half a year, the company’s cumulative financing amount exceeded 1 billion yuan. This round of financing was led by Henan Investment Group Huirong Fund, and old shareholders such as Zhenzhi Capital, Shangshi Capital, Xinglian Capital, Shanghai Guofang Innovation, Honghui Fund, Huakong Fund, and Hangzhou Fucheng continued to follow the investment. Trendjing Technology revealed that the funds raised this time will be mainly used to expand high-quality AI Token production capacity reserves, upgrade the self-developed high-performance AI Token production service platform ATaaS (Approaching.AI Token as a Service), and further build an AI Token factory for head models, Internet platforms and regional industrial ecology. Trendjing Technology was founded in 2024 and is located in Beijing. The core members of the founding team come from the High Performance Institute of the Department of Computer Science, Tsinghua University. Among them, Zheng Weimin, an academician of the Chinese Academy of Engineering, serves as the chief scientific advisor, Professor Wu Yongwei of Tsinghua University serves as the chief scientist, and Zhang Mingxing, associate professor of the Department of Computer Science of Tsinghua University, is a co-founder of the company. Since the Spring Festival in 2026, the average AI Token production efficiency of a single unit of Trend Technology has increased by more than 3 times, and the total production capacity of high-quality AI Token has increased by more than 30 times. At this stage, the company has already put into production projects with a daily processing capacity of trillions of Tokens. 1. The Token factory with an average daily production capacity of trillions has been put into operation, and some businesses have become profitable. Trendjing Technology defines "high-quality AI Token" as the smallest production unit that connects computing power, models and application results. At present, the company has launched the Token as a Service (TaaS) model. Its self-developed ATaaS platform uses full-link system engineering capabilities to collaboratively solve problems such as model performance, inference efficiency, resource utilization, cache reuse, service isolation, elastic expansion and contraction, quality monitoring and cost control.