Singapore Startup Ropedia Crosses US$30 Million in Funding to Scale Data Infrastructure for Physical AI

The funding round was led by top venture capital firms with strong experience in AI, deep technology, and infrastructure across Southeast Asia. Earlier investors also included super angels and investors connected to Google, Andreessen Horowitz (a16z), NVIDIA, and Amazon.

Ropedia will use the new funding to expand its data collection operations in Southeast Asia and North America, hire more employees in Singapore and the United States, and increase production of its wearable data capture devices to support larger deployments.

The company also plans to improve its data platform by adding better annotation tools, quality monitoring, and compliance features. In addition, it will grow its AI research team to develop advanced data foundation models and world models for physical AI.

“A robot can’t play baseball by watching a video any more than you could learn to ride a bike by reading about it. The robot must understand what it’s like to grip a bat and know the timing it takes to hit a ball. That’s the information Ropedia’s technology provides, and it’s why this investment matters. Our technology lets robots capture the experience and real judgment it will take for them to move through the world. If we get all that right, the robots will leave the beta stage and start doing real work, first in factories, then at home, with families,” said Zhaoxi Chen, CEO and Co-Founder of Ropedia.

Ropedia's platform spans the entire Physical AI data pipeline, from capturing multimodal human experience data to delivering model-ready datasets. Using its proprietary wearable hardware, the company captures egocentric video, depth, motion and audio before synchronizing and processing the data through its platform. The resulting datasets are delivered through Xperience-10M, one of the world's largest Human Experience Datasets, or as custom Data-as-a-Service (DaaS) offerings for robotics and embodied AI developers.

As the company scales its end-to-end data ecosystem, the newly raised capital will expand manufacturing capacity, global data collection operations, and its data platform, enabling Ropedia to deliver larger and more diverse datasets to customers worldwide.

For robotics and Physical AI developers, the expansion will translate into faster access to larger, more diverse datasets collected across a broader range of real-world environments, tasks, and geographies. By increasing both the scale and diversity of human experience data, Ropedia aims to help customers build AI models that generalize more effectively beyond controlled laboratory settings and into real-world deployment.

Ropedia's approach cuts data-collection costs by up to 50x compared with traditional methods, while its wearable capture device has entered mass production to support larger-scale deployments. The company has already served dozens of customers across North America, China, and Singapore in the fields of embodied AI and spatial intelligence.

Chen co-founded Ropedia with Fangzhou Hong, Chief Technology Officer, and Ziwei Liu, Chief Scientist and an Associate Professor at Nanyang Technological University in Singapore. Chen’s research spans 3D computer vision, generative foundation models, and multimodal content generation, and Hong previously worked on Meta’s egocentric multimodal intelligence research.

Ropedia's vision is to be the foundational data infrastructure for the physical AI era. “Just as cloud computing required data centers, and language AI required the internet's text — physical intelligence requires massive, high-quality, real-world interaction data”, added Chen.

By building an end-to-end platform for capturing, processing, and delivering human experience data at scale, Ropedia aims to provide the infrastructure layer underpinning the next generation of robotics and embodied AI. As Physical AI moves from research labs into factories, workplaces, and homes, the company believes scalable real-world data will become the foundation on which the industry's next wave of innovation is built.

About Ropedia

Ropedia builds data infrastructure for physical AI. Its HOMIE capture device and structured multimodal datasets, including Xperience-10M, give robotics and embodied AI systems structured records of real human experience for training and simulation. Founded in Singapore in the second half of 2025 by Zhaoxi Chen, Fangzhou Hong and Ziwei Liu, Ropedia is headquartered in Singapore with an additional office in Mountain View, California.

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