Realtime AI News
Approaching.AI Raises Series A, Surpassing 1 Billion Yuan in Six Months
Approaching.AI, a high-efficiency AI Token production service provider, announced its Series A round with total funding exceeding 1 billion yuan in half a year. The funds will expand its premium AI Token capacity and upgrade its proprietary ATaaS platform.
Approaching.AI (趋境科技), a leading high-efficiency AI Token production service provider, announced the completion of its Series A funding round on July 13. The company has raised over 1 billion yuan in cumulative funding within six months.
The round was led by Henan Investment Group's Huirong Fund, with follow-on investments from Zhenzhi Capital, Shangshi Capital, Xinglian Capital, Shanghai Guofang Innovation, Honghui Capital, Huakong Capital, and Hangzhou Fucheng.
The proceeds will be used to expand premium AI Token production capacity, upgrade its proprietary ATaaS (Approaching.AI Token as a Service) platform, accelerate the large-scale deployment of domestic heterogeneous computing power in core production scenarios, and build additional high-quality AI Token factories serving leading models, internet platforms, and regional industrial ecosystems.
The lead investor's commitment goes beyond financial returns, as both parties are jointly advancing plans for a multi-trillion daily-token-capacity AI Token factory.
Since early 2026, the company has achieved over 3x improvement in per-unit computing AI Token efficiency, with total premium AI Token capacity growing more than 30-fold. For one trillion-parameter model, daily premium AI Token production has stably exceeded the trillion-token mark.
Approaching.AI has adopted a "fewer models, deeper optimization" technical strategy, focusing on enterprise production scenarios. It has built a replicable model for AI Token factory design, construction, and operation, with some mature businesses already crossing the profitability threshold.
The company's technical team originates from Tsinghua University's Department of Computer Science HPC Institute, with Chinese Academy of Engineering academician Zheng Weimin as Chief Scientific Advisor. The company has proposed industry-first technical solutions including domestic PD heterogeneous collaboration, high-performance heterogeneous KVCache conversion, and heterogeneous computing pooling.
This funding comes at a pivotal moment when the AI infrastructure industry shifts from "total computing power" to "quality efficiency." By pioneering Token-as-a-Service, Approaching.AI is charting a new path beyond the traditional MaaS model, potentially playing an increasingly important role in the AI value chain as domestic computing ecosystems mature.
Why it matters
This funding round signals a market shift from raw compute supply to quality Token production services, validating the TaaS (Token as a Service) model as an emerging AI infrastructure paradigm.
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