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Xieyue Intelligence Raises Significant Funding to Advance Embodied AI Development
Original from leaderobot.com: Xieyue Intelligence Secures Significant Funding for Embodied AI Development

Xieyue Intelligence Raises Significant Funding to Advance Embodied AI Development

Xieyue Intelligence has announced the completion of a substantial angel round funding, amounting to hundreds of millions, with investments from Linear Capital, Junshan Capital, Hongyi Capital, and Yingshan Capital. This funding will be utilized to further advance the training of embodied foundational models, enhance computational and data infrastructure, expand the core team, and develop household robot prototypes and scenario validations.

The significance of this funding lies in Xieyue Intelligence's ambition to establish itself as a leader in the embodied AI sector, particularly focusing on household applications. Founded by Chen Wei, former AI Chief Scientist at Li Auto, and Zhang Xiao, former product line president, the company aims to create a universal embodied model that operates effectively in the real physical world, leveraging its proprietary models to drive the deployment of general household robots.

Looking ahead, Xieyue Intelligence is set to implement its Duplex Reasoning paradigm, which enables a bidirectional communication channel between robots and users, enhancing interaction and task execution. The company plans to complete its data collection, cleaning, labeling, and training capabilities by 2026, marking a significant milestone in its development trajectory.

Editor's Note

Xieyue Intelligence's recent funding round highlights the growing interest in embodied AI technologies, particularly in the consumer robotics sector. As companies strive to enhance human-robot interaction, the focus on high-quality data and robust infrastructure will be critical for successful deployment. The competitive landscape is likely to evolve as more players enter the market, emphasizing the importance of innovative approaches like Duplex Reasoning.

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