# Artikel Terkait Large Model

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Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

Exclusive report: Embodied AI company "Yuanli Lingji" recently completed a new round of financing from major AI model firms including Zhipu AI, Stepfun, and SenseTime, alongside continued investments from industrial backers like Huaqin and SAIC Hengxu. Founded in March 2025 by Tang Wenbin, former co-founder and CTO of Megvii, Yuanli Lingji is a general-purpose embodied AI model company. In a notable move, the company has merged with logistics robotics firm "Atomix" (formerly known as Yuanli Juhe) through a share acquisition. Atomix, which originated from Megvii's logistics robotics business led by Tang in 2016 and was spun off in July 2024, has grown to become the world's second-largest supplier of pallet shuttle robots, with annual revenue nearing 1 billion RMB and over 500 projects globally for clients like Uniqlo and CATL. This merger aims to break the industry's "data deadlock" by combining Atomix's extensive real-world operational data from more than 20 countries with Yuanli Lingji's model training capabilities. The company's embodied AI model "DM0" utilizes a cross-domain training approach, integrating internet semantics, autonomous driving rules, and robotics data to achieve hardware-agnostic, precise manipulation even with a compact 2.4B parameter size. The collective investment from key AI players and the strategic merger signal a shift in the competitive landscape, as major model companies pivot from language tokens to physical actions ("from Token to Action"). The industry is entering a consolidation phase where hardware, AI models, data, and application scenarios converge to scale embodied intelligence, a trend mirrored by recent moves from giants like ByteDance and Skild AI.

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Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

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Competitors Going Public, Kimi Can't Sit Still

Competitors Go Public, Kimi Feels the Pressure Yue Zhi An Mian (Moonshot AI), the company behind the AI assistant Kimi, has begun dismantling its VIE and red-chip structure, clearing a key obstacle for a potential Hong Kong IPO. This marks a significant shift from six months ago when founder Yang Zhilin stated the company was in "no hurry" to list. The move comes as rivals like Zhipu AI and MiniMax have successfully listed on the Hong Kong Stock Exchange in early 2026, experiencing massive surges in market value. This has reset valuation logic for AI companies, turning "going public" from an end goal into a competitive necessity. Analysts suggest Kimi is both seizing a favorable market window and responding to competitive pressure. Kimi's valuation has skyrocketed from around $3 billion at its 2023 founding to over $20 billion by May 2026. Capital is betting on its potential as a future AI platform and gateway, though some caution this "emotional valuation" depends on sustained technological leadership and successful commercialization. Traditionally focused on core model R&D over user growth, Kimi has recently pivoted strategy. While its monthly active users declined through 2025, it shifted focus to Agent development and reducing marketing spend. The release of its K2.5 model in early 2026 reportedly generated substantial revenue, with annual recurring revenue reaching $200 million by April, driven by subscriptions and API services. A $2 billion D-round financing in May signaled investor approval of this commercial shift. However, listing will bring new pressures. Experts predict a listed Kimi would face stricter scrutiny on financial controls, compliance, and R&D efficiency. The narrative must evolve from pure technological breakthroughs to demonstrating clear commercialization paths, sustainable income, and a defensible valuation, balancing model superiority with business performance.

marsbit05/28 10:02

Competitors Going Public, Kimi Can't Sit Still

marsbit05/28 10:02

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