RoboScience Machine Science Completes A2 Funding Round Led by Amber Capital
产业资本继续押注具身：斯坦福双子星创办的黑马公司 RoboScience 机器科学，宣布完成 A2 轮融资
On November 2, RoboScience Machine Science announced the completion of its Series A2 funding round, led by Amber Capital, Hongruida Investment, and Shanghai Semiconductor Industrial Investment Fund. The company, founded in March 2025 by Stanford alumni Shao Lin and Tianye, has raised funds across five rounds despite a challenging financing environment in the embodied intelligence sector. Investors cite the firm's alignment of funding with technical milestones—including its RoboMirage simulation engine, Visics general-purpose embodied AI model, and REX G1 robot—as evidence of sustainable execution rather than narrative-driven growth.
Source: Robotics — Chinese web discovery · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
video training data volume
1,000,000
video training data volume
4,000,000
data cost per unit
0.05
View original evidence
配合全自动的视频标注管线， 这套"仿真+视频"体系把单条数据成本压到 0.05 元，约为传统方案的 1/20 到 1/200，数据以每周数十万小时的速度扩张。
Open source S22
- paper: not_reported
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
2026 年初到 10 月，视频训练数据从 100 万涨到 400 万。
Open source S23
配合全自动的视频标注管线， 这套"仿真+视频"体系把单条数据成本压到 0.05 元，约为传统方案的 1/20 到 1/200，数据以每周数十万小时的速度扩张。
Open source S22
Source：Robotics — Chinese web discovery · leiphone.com