Ropedia raises $22M to scale data collection for training robots

Ropedia’s HOMIE is a lightweight device that includes four cameras and a swappable battery module. | Source: Ropedia

Ropedia, which is building data infrastructure for physical AI, today said it has raised $22 million in pre-Series A funding. Combined with the company’s seed round, it has raised $30 million.

The company plans to use the funding to scale HOMIE, its wearable , head-mounted device. HOMIE captures first-person human movement, object interaction, and spatial context and then feeds that data into Ropedia’s processing and annotation models.

“For this round of fundraising, we’re actively expanding our business and technical networks in the sense that we want to build up our teams in hardware, software, data infrastructure, and model development,” Zhaoxi Chen, co-founder and CEO of Ropedia, told The Robot Report . “The second usage is really going to be expanding our business to North America, especially in the United States, because the majority of our existing clients and customers are based there.”

Ropedia also plans to build out its data platform, adding annotation tooling, quality analytics and compliance infrastructure, and to grow its AI research team’s work on data, foundation models, and world models. Founded in 2025, the company has offices in Singapore and Mountain View, Calif.

The data pipeline that starts with HOMIE runs end to end, from capture to model-aligned fine-tuning. This creates data that Ropedia generates and structures itself rather than the client-owned data that most data-labeling providers annotate. That full-stack approach also sets it apart from teleoperation -based capture, which requires physical robot hardware and is typically limited to specific robot embodiments.

Chen asserted that Ropedia is building the data infrastructure the robotics industry needs if it wants to scale.

“Infrastructure means you’re going to be able to process massive scale of data in a short time,” he said. “Delivering 1,000 hours of data is a totally different thing compared with delivering 1 million hours of data, because you need to make sure that everything is industry level of standards.”

HOMIE is a data-collection device equipped with 360º camera view. Ropedia aims to build human-level intelligence in robotics, and to do this, Chen claimed that the best place to start is with copying human behavior.

“You’re going to mimic human-level intelligence by going back to the way humans learn new skill sets,” he said. “We learn in the physical world through our vision, through our interaction from a first-person perspective. We learn from a first-person view. We learn all physical skills or high-level reasoning semantic skill sets from this perspective. So, that’s why we believe in the power of egocentric data.”