Gasgoo Munich-The embodied intelligence arena has a new heavyweight contender. Gasgoo has learned that on June 23, Beijing Kunlunx AI—founded just 90 days ago—announced the completion of three rounds of financing. The total funding amounts to several billion yuan, pushing its post-money valuation past $1 billion and officially making it a unicorn in the embodied intelligence sector.
The first round was snapped up by top-tier investors within three days of the launch announcement. After these three rounds, Kunlunxing set a new record for the fastest financing by a domestic 0-to-1 embodied intelligence startup in 2026.

Image Source: Kunlunxing Robot
This financing round was jointly invested in by Gaorong Capital, GL Ventures, CAS Star, Zhongding Capital, Huaye Capital, Innovation Works, Heart Capital, and C&D Capital under the C&D Group. Notably, all investors from the first round doubled down with full commitments in the subsequent two rounds. Xin Wang, a partner at Gaorong Capital, noted that the barrier to entry for embodied intelligence is extremely high, requiring teams with full-stack capabilities in AI, hardware, and commercialization; the Kunlunxing team is a rare top-tier full-stack group. A representative from GL Ventures added that what is truly scarce is a team that combines an understanding of cutting-edge AI technology with mass-production engineering capabilities and commercial delivery skills.
The driving force behind this extreme investor confidence is Kunlunxing's "all-star founding team." Founder and CEO Ren Geng previously served as President of Alibaba Cloud China and Chief of Staff of Alibaba Cloud. During his tenure, Alibaba Cloud maintained the No. 1 market share for a long time, peaking at 42.1% in 2020. Co-founder Lang Xianpeng was formerly President of Autonomous Driving at Li Auto, where he built the company's smart driving R&D system from scratch and led the team to deliver the industry's first end-to-end plus VLM solution in 2024. Core team members come largely from Huawei, Alibaba, and Li Auto.
On the technology front, Kunlunxing is committed to full-stack, soft-hard integration, anchored in mass production. Addressing industry pain points like the lack of physical causal reasoning and poor scenario generalization, the company has integrated physical causal modeling capabilities into mainstream international VLA models. It has constructed a dual-system robot intelligence architecture centered around the Kunlun World Model (KWM). Simultaneously, it has built an integrated full-stack hardware system covering ontology, motion control, and integrated testing, adopting a software-defined hardware forward development model.
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