RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasonin
Embodied cognition requires agents to connect high-level task reasoning with the physical states to be achieved. We introduce Hy-Embodied-RxBrain, an embodied cognition foundation model with joint language-visual reasoning and imagination.
https://arxiv.org/abs/2607.14187v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
How close the company’s idea is to your thesis statement
Sector
agents, ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↓ declining
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Correct facts used on the next screening or memo.
People
H
Haotian Liang
1.0
low confidence
M
Mingkang Chen
1.0
low confidence
Y
Yufei Huang
1.0
low confidence
Y
Yuchun Guo
1.0
low confidence
X
Xiaomeng Zhu
1.0
low confidence
X
Xiangli Shi
1.0
low confidence
K
Kaixuan Wang
1.0
low confidence
Y
Yunxuan Mao
1.0
low confidence
W
Weijie Zhou
1.0
low confidence
L
Ling Chen
1.0
low confidence
S
Shirong Zeng
1.0
low confidence
Y
Yueyu Long
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Cortex AI
· Active
Large-scale real-world robot & human data for embodied AI
founders not scraped yet
Envariant
· Active
Interpretability and reasoning infra for foundation models.
founders not scraped yet