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Sand.ai Completes $200 Million A+ Round

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88Z AI, 5 November — Sand.ai has completed a $200 million A+ funding round, co-led by C Capital and Wangsu Technology, with participation from Shanghai State-owned Assets, Times Capital, and additional investment from existing shareholder Matrix Partners China. The company has raised a cumulative $300 million across three rounds in ten months, becoming a new unicorn in video generation. Founded by Cao Yue, former principal researcher at MSRA and key author of Swin Transformer, Sand.ai has open-sourced MAGI-1 and the

At a glance

  • Sand.ai completes a $200 million A+ round, raising a cumulative $300 million in ten months to become a video generation unicorn.
  • Founder Cao Yue is a key author of Swin Transformer; the company has open-sourced MAGI-1 and the MAGI-2 Preview with a hundred-billion parameter MoE architecture.
Cover image for Sand.ai Completes $200 Million A+ Round
Cover image for Sand.ai Completes $200 Million A+ Round

The update

Sand.ai recently announced the completion of a $200 million A+ funding round. This round was co-led by C Capital and Wangsu Technology, with participation from institutions such as Shanghai State-owned Assets and Times Capital, while existing shareholders like Matrix Partners China continued to increase their investments. Over the past ten months, the company has raised a cumulative total of $300 million through three rounds of financing, officially becoming a new unicorn in the field of video generation. Sand.ai was founded by Cao Yue, a former principal researcher at Microsoft Research Asia and a key author of Swin Transformer. In terms of technical layout, the company has open-sourced the MAGI-1 model and released the MAGI-2 Preview based on a hundred-billion parameter Mixture of Experts (MoE) architecture, demonstrating its technical strength and commitment to open source in the field of AI video generation.

Sources & editorial note

This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.

  1. 晚点LatePostSource published

Source dates above refer to the original announcements; the date under the headline is this article’s publication on 88Z AI.

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