en.Wedoany.com Reported - AI Token production service provider Approaching.AI announced on May 20 the completion of hundreds of millions of yuan in Pre-A round financing. This round of financing was jointly led by Starlink Capital and Huakong Technology, with follow-up investments from Highlight Capital, Top Resource Energy, Shangshi Capital, Tianjin Renai Hongsheng, Hangzhou Fucheng, and other institutions, while existing investor GL Ventures continued to increase its stake. The funds will be primarily invested in the computing power reserves and underlying inference system construction of the high-efficiency artificial intelligence Token production service platform ATaaS, continuously delivering model output capabilities characterized by low latency, high throughput, stable structured output, reliable function calls, and predictable service quality.

Founded in 2023, Approaching.AI focuses on providing enterprises with high-efficiency AI Tokens and full-scenario, dedicated AI inference solutions. The core team originates from the Institute of High-Performance Computing at Tsinghua University, with Academician Zheng Weimin of the Chinese Academy of Engineering serving as Chief Scientific Advisor and Professor Wu Yongwei of Tsinghua University serving as Chief Scientist. The company's founder and CEO, Ai Zhiyuan, holds a Ph.D. in Computer Science from Tsinghua University, possessing both systems research capabilities and commercialization experience in large enterprises. He led the proposal of the TaaS industry logic and drove ATaaS from a technology platform to enterprise-grade production services. President Dr. Wu Wenjie holds a Ph.D. in Finance and a CFA charter, with executive experience at leading industrial and capital institutions, having led the investment and M&A of dozens of benchmark enterprises. Chairman Ren Xuyang is a founding veteran of Baidu, who previously spearheaded the establishment of companies such as iQiyi and Yidian Zixun.

Centered on the Token as a key production factor connecting model capability, system performance, service stability, and cost efficiency, Approaching.AI has proposed the industry concept of "Token as a Service" (TaaS) and built the high-efficiency AI Token production service platform ATaaS. Compared to traditional MaaS, which focuses on model invocation and management, ATaaS concentrates more on delivering inference performance in enterprise-level production scenarios, helping enterprises acquire scalable and operable high-quality Token production capabilities. In terms of model strategy, the company adheres to a "fewer models, deeper optimization" approach, continuously optimizing output quality, inference efficiency, TTFT stability, and TPS performance around a select few high-productivity models in real enterprise scenarios.

Through capabilities such as heterogeneous computing power scheduling, cross-cluster cache sharing, inference link isolation, elastic scaling, and quality monitoring, Approaching.AI transforms underlying computing power into sustainably deliverable high-quality AI Token production capacity. The company can provide enterprises with stable TTFT, high-speed output capabilities of 30 to 50 TPS, and reliable service guarantees. Currently, Approaching.AI already serves multiple enterprise-level clients, including Zhipu GLM and Moonshot AI's Kimi, through the ATaaS platform. The platform processes nearly one trillion Tokens daily on average and, having been long-term validated in highly complex, high-concurrency business scenarios, has formed core capabilities for large-scale inference delivery.

Approaching.AI has completed the valuation and equity injection of related technological achievements from the Institute of High-Performance Computing at Tsinghua University. These technological achievements were developed over the long term by research teams led by Academician Zheng Weimin, Professor Wu Yongwei, and Associate Professor Zhang Mingxing, covering key areas such as high-performance computing, parallel and distributed systems, storage systems, intelligent computing power systems, and large model inference infrastructure.

Investors have given clear evaluations of Approaching.AI's technical path. Li Wenjue, Partner at Starlink Capital, stated that this investment was driven by the systemic breakthrough of its ATaaS platform and the company's ability to rapidly transform top-tier academic achievements into large-scale commercial deployment. In the future, whoever can synergistically optimize master control, scheduling, memory management, and model structure is more likely to hold the discourse power in the next generation of AI infrastructure. Zhang Yang, Chairman of Huakong Fund, pointed out that with the rapid improvement of domestic large model capabilities and the full-scale explosion of application demand, the AI Infra industry, capable of providing high-quality Tokens stably at scale, will become a critical infrastructure for the flourishing AI industry, possessing vast market space and extremely high investment value.

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