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Physical AI Enters Era of Experience Engineering; Ropedia Raises Tens of Millions in Funding for Full-Stack Data Infrastructure

Ropedia, a Singapore-based Physical AI company, announced a new funding round of tens of millions of dollars to build real-world experience infrastructure. The company focuses on converting human experience into structured data usable by robots, with its dataset Xperience-10M adopted by several embodied foundation models. The round was led by top Southeast Asian venture capital firms, with participation from leading dollar funds and industry players.

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Ropedia Raises Tens of Millions in Funding: Physical AI Data Infrastructure Enters the Era of Experience Engineering

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The competition in Physical AI is shifting from model architecture to data infrastructure. Ropedia has completed a new round of funding in the tens of millions of dollars, with its core product, the Xperience-10M dataset, already adopted by models such as Qwen-VLA. However, the real challenge lies in transforming raw data into scalable model training assets.

  • Ropedia has completed a new round of funding in the tens of millions of dollars, led by top Southeast Asian venture capital firms, with participation from leading dollar funds and industry players.
  • The flagship dataset Xperience-10M has been downloaded over 2.7 million times on Hugging Face, ranking 2nd across the entire platform and 1st in the embodied intelligence category.
  • Ablation experiments from ACE-Ego-0 show that adding human videos from Xperience-10M improves task success rates from 68.3% to 72.8%.
Open section navigationFunding and Positioning: From Data Collection to Experience Infrastructure

Funding and Positioning: From Data Collection to Experience Infrastructure

Ropedia, a Physical AI company headquartered in Singapore, has announced the completion of a new round of funding in the tens of millions of dollars, led by several top venture capital firms with deep roots in the Southeast Asian market, with participation from leading dollar funds and industry players in smart manufacturing and large models. In a previous round, investors associated with Google, a16z, NVIDIA, and Amazon also participated. This round of funding will focus on next-generation multimodal perception hardware, real-world data production engines, global collection and delivery capabilities, and the development of data validation systems for robot foundation models and world models.

Chen Zhaoxi, co-founder and CEO of Ropedia, stated that the company is not building a larger video library but rather the infrastructure that precedes real-world data entering models. Its core competitiveness lies not in collection itself, but in transforming raw data into model inputs. Traditional data services revolve around manual collection and annotation, whereas Physical AI requires a data production system that can continuously operate and iterate.

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Credibility boundary

The information in this article is primarily sourced from a report by Machine Intelligence on Ropedia, including official company statements and third-party data. Funding details and product plans are source claims. Ablation experiment data comes from publicly available research by ACE-Ego-0, but specific figures have not been independently verified. Public data such as Hugging Face download counts can be cross-checked, but rankings and citation status are as reported.

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  1. Physical AI正进入经验工程时代，Ropedia聚焦全链路数据基建，完成数千万美元融资机器之心

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机器之心

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