TensorWorld Launches With $105M Seed to Build Physics-Native Frontier Models
jiqizhixin · x · 2026-11-05
TensorWorld debuts from stealth with a $105M seed round to build "physics-native" frontier models — world simulators that faithfully understand, simulate, and interact with physical reality for robotics, engineering, and science.
- Investors: Cathay Capital, HSG, Ant Group, MSA Capital, Meituan, IDG Capital, CDH VGC, NIO Capital, and others.
- Thesis: Physical AI discourse fixates on what agents can do, but modeling the world they act in matters just as much — whether a grasp slips depends on weight, grip force, and friction; only a wind tunnel reveals real drag. Faithfulness to physical reality is the missing foundation.
- Approach: Unlike video models that merely generate scenes or hand-coded simulators that approximate reality, TensorWorld aims for models that infer the physical structure and dynamics behind observations, generalize beyond simulator assumptions, and internalize the world's laws as an intrinsic property.
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