The development of advanced robotics and embodied AI systems hinges on access to high-quality, real-world interaction data. Traditional data collection methods are often prohibitively expensive and lack the nuanced, first-person perspective essential for training intelligent agents to navigate complex physical environments. Ropedia's approach aims to democratize this crucial data, enabling faster progress in robotics.

The company's core offering revolves around its proprietary wearable device, HOMIE (Human-centric Omni Interaction and Experience). This head-mounted rig captures synchronized egocentric video, depth, motion, and audio as humans perform tasks, providing a rich, multimodal dataset. Ropedia then processes and annotates this raw data, delivering model-ready datasets that are specifically designed for training physical AI models.

This full-stack methodology differentiates Ropedia from conventional data labeling services, which typically work with pre-collected data. By generating its own data from real human experiences, Ropedia claims to reduce data collection costs by up to 50 times. The $22 million Pre-Series A round, bringing total funding to $30 million, will fuel the expansion of HOMIE manufacturing, global data collection efforts across Southeast Asia and North America, and further AI research into data foundation models.

Founded in 2025 by CEO Zhaoxi Chen, CTO Fangzhou Hong, and Chief Scientist Ziwei Liu, Ropedia currently serves over 20 robotics and foundation model companies. The investment underscores a growing recognition that the 'ChatGPT moment' for robotics will require massive, high-fidelity real-world data, moving beyond synthetic environments or limited datasets. This funding positions Ropedia as a key enabler for the next generation of intelligent robots.