Ropedia
"Building the data foundation of physical intelligence."
Singapore physical-AI data company; its HOMIE head-mounted rig and Xperience datasets supply human demonstration data to embodied-AI model builders.
Ropedia is a Singapore company that supplies the training data behind physical AI. Rather than building robots or robot models, it captures how people actually perform tasks and sells that record to the companies training embodied systems and world models. It was founded in the second half of 2025 by Zhaoxi Chen as chief executive, Fangzhou Hong as chief technology officer and Ziwei Liu, an associate professor at Nanyang Technological University, as chief scientist. It reported 31 staff in mid-2026 and lists offices in Singapore, Mountain View, Kuala Lumpur and Shanghai.
The business has three layers. HOMIE Gen2 is a head-mounted capture device worn by a person doing ordinary work, recording synchronised video, audio and depth together with hand tracking, gaze, body motion, camera pose and timestamps aligned across every stream. The Ropedia Platform then processes those recordings into usable training data. The output is sold as datasets: Xperience-10M, published openly, holds 10 million interaction episodes and more than 10,000 hours of multimodal recordings spanning video, depth, motion capture and inertial data, while Xperience Enterprise is the commercial counterpart. Custom collection is offered in three tiers, and an academic partner programme is open to researchers. Model weights are not the product; the data is.
Funding totals 30 million US dollars at pre-A stage: an 8 million round in March 2026 plus 22 million announced on 24 July 2026. Investor names are undisclosed.
Its stated customer base is more than a dozen North American companies in embodied AI and spatial intelligence, none named publicly. For a robotics supply chain Ropedia sits a layer below the model builders: a team training a manipulation policy can buy human demonstration data instead of running its own teleoperation collection, which is the bottleneck most embodied-AI groups face.
Primary type & automation activities this supplier delivers:
HOMIE Gen2
synchronised video, audio and depth plus hand tracking, gaze, body motion, camera pose and timestamps aligned across all streams; ordered via [email protected]; company describes availability as selective hardware access rather than open sale; no published weight, battery, resolution or frame-rate figures
Xperience-10M
10 million interaction episodes; more than 10,000 hours of recordings; video, depth, motion-capture and inertial-sensor data; hosted on Hugging Face at huggingface.co/ropedia-ai; specific licence terms not stated on reachable pages
Xperience Enterprise
Commercial counterpart to the open dataset, licensed to companies training embodied AI systems.
Ropedia Platform
Processing engine that turns raw multimodal capture into training-ready data.
Custom data collection services
Bespoke human demonstration data collection on customer specification, offered in three service tiers.
Contact Ropedia
WEBSITE
https://ropedia.com/HEADQUARTERS
Singapore
Company Facts
Founded
2025
Primary Role
Software/Algorithm
Company Size
employees 10-50
Primary Region
Asia-Pacific
Annual Sales
-
Funding Stage
Early-Stage VC
Funding Total
$ 30,000,000
Keywords
- Ropedia
- Ropedia AI
- physical ai data
- human demonstration data
- egocentric capture
- head-mounted rig
- hand tracking
- gaze tracking
- multimodal dataset
- data as a service
- world models
- embodied ai training data
- Software/Algorithm
- Manufacturer
- Perception & Vision
- Cloud & Data
- Research Platform
- Education & Research
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Ropedia, a Singapore-based embodied intelligence data company, has successfully completed a $30 million funding round, which includes $22 million from a Pre-A round and $8 million from a seed round earlier this year. The funding will be used to expand its data collection network in Southeast Asia and North America, enhance its team in Singapore and Mountain View, and mass-produce its proprietary headset device, HOMIE. This funding is significant as it highlights a shift in the robotics industry, where the focus has moved from hardware manufacturers to data collection and processing. Ropedia's approach, which utilizes wearable technology instead of traditional robotic systems, aims to reduce data collection costs significantly, potentially to one-fiftieth of conventional methods. The company has already served over 20 robotics and foundational model companies across North America, China, and Singapore. Looking ahead, Ropedia's business model hinges on its ability to maintain compliance with data privacy regulations and ensure the reusability of collected data across different robotic platforms. The company's strategic positioning as a 'neutral data node' could redefine the data supply chain in the robotics sector. No further timeline was disclosed at the time of publication.
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