Xingyun Integrated Circuit Raises Nearly $110 Million as CATL Bets on AI Chips
Xingyun Integrated Circuit, a Beijing-based AI chip startup, has raised nearly $110 million in late-stage financing led by CATL, the world's largest electric vehicle battery maker, through its investment platform Puquan Capital and CATL's own balance sheet capital, with Primavera Capital among the other disclosed participants.
Founded in 2023, Xingyun develops high-performance GPU chips designed specifically for large AI model inference workloads, aiming to offer domestic Chinese alternatives with higher performance and lower cost than imported options in a segment where export restrictions have made supply chain independence a strategic priority for Chinese technology companies. The company is led by CEO Ji Yu, a Tsinghua University PhD in computer architecture who previously came through Huawei's competitive "Genius Youth" recruitment program for top technical talent.
CATL's participation is the most notable element of this round. Best known as the world's dominant EV battery manufacturer, CATL has been steadily expanding its investment activity into AI, semiconductors and embodied intelligence over the past year, deploying billions of yuan across multiple platforms including a separate automotive chip venture formed with Guoxin Micro. For an industrial company of CATL's scale, backing a domestic AI chip startup functions as both a financial bet on a fast-growing category and a supply-chain hedge, since CATL's own manufacturing operations and broader battery ecosystem increasingly depend on AI-driven automation, data infrastructure and computing capacity.
The round adds Xingyun to a growing list of Chinese GPU startups drawing capital from industrial conglomerates rather than purely financial investors, a pattern distinct from the venture-and-hyperscaler-funded model more common among AI chip startups in the United States. Strategic investors of CATL's scale can offer design feedback, manufacturing relationships and direct customer pathways that a financial investor typically cannot, potentially accelerating a young chip company's path to production volume.
For founders and investors watching the global AI compute landscape, Xingyun's raise is a reminder that the competitive race to build alternatives to Nvidia's dominant position is playing out simultaneously through very different funding models across different geographies, from open-standard networking startups backed by venture capital in the United States to industrial-conglomerate-backed chip design houses in China.
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