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Home - Asia - Giga Imaginative and prescient Secures USD 28 Million in Collection A2 Funding to Speed up Its Bodily-World AGI Roadmap
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Giga Imaginative and prescient Secures USD 28 Million in Collection A2 Funding to Speed up Its Bodily-World AGI Roadmap

NextTechBy NextTechDecember 14, 2025No Comments2 Mins Read
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Giga Imaginative and prescient Secures USD 28 Million in Collection A2 Funding to Speed up Its Bodily-World AGI Roadmap
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On December 8, 2025, Giga Imaginative and prescient, an organization centered on physical-world common intelligence, introduced that it has raised USD 28 million in its Collection A2 spherical. The spherical was led by Fortune Capital, with present investor China Prosperity Capital taking part as a co-lead, and follow-on funding from a bunch of establishments together with Shoufa VC and Puyao Xinye. Current shareholder Hedinggong Capital made an oversubscribed contribution, and Gengxin Capital China served because the monetary advisor.

Inside the previous three months, Giga Imaginative and prescient has accomplished Pre-A, Pre-A+, A1, and now A2 financing, bringing its whole Collection A-stage funding to USD 70 million. The corporate is constructing towards bodily AGI and has launched full-stack software-hardware merchandise such because the GigaWorld world-model platform and the GigaBrain common embodied-intelligence mind. On November 26, 2025, it launched its native ontology and superior into terminal purposes, alongside the disclosing and mass manufacturing of its self-developed Maker H01 embodied-intelligence robotic.

Giga Imaginative and prescient’s workforce originates from the Clever Imaginative and prescient Lab of Tsinghua College’s Division of Automation, with sturdy analysis output throughout laptop imaginative and prescient, autonomous driving, and embodied intelligence. Its fashions are reported to attain industry-leading efficiency. The corporate believes the subsequent two to a few years can be a crucial window for breakthroughs in physical-world AGI, and it plans to repeatedly iterate on the “world mannequin + motion mannequin + reinforcement studying” paradigm, deploy options in flagship situations, and speed up the arrival of a “ChatGPT second” for the bodily world.

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