Ropedia
Category: AI Infrastructure
Ropedia builds data infrastructure for Physical AI, capturing real-world human experience at scale through its Homie wearable device and Xperience-10M dataset to power robotics, embodied AI, and world models. Ropedia was founded in 2025. The company is led by Zhaoxi Chen. Based in Singapore, Singapore. Team size: 11-50. Total funding raised: $30M. Latest round: Pre-Series A. Key investors include Angel investors with ties to Google, a16z, NVIDIA, and Amazon, Leading dollar funds from Asia, Southeast Asia-focused venture investors in AI, deep tech, and infrastructure (Pre-Series A), ShenDu Capital (long-term exclusive financial advisor).
- Founded
- 2025
- Headquarters
- Singapore, Singapore
- Team size
- 11-50
- Total funding
- $30M
Value proposition
Ropedia provides the data infrastructure layer for Physical AI, capturing real-world human experience at scale through its Homie wearable device — reducing data collection costs by up to 50x compared to traditional teleoperation methods — and delivering structured multimodal datasets for training robots, embodied AI, and world models.
Products and solutions
Homie wearable (head-mounted multimodal capture device), Xperience-10M dataset (10M interaction episodes, 10,000+ hours of multimodal recordings), Ropedia Data Platform (processing, annotation, and delivery pipeline), Data-as-a-Service (custom data collection and delivery)
Unique value
Ropedia's Homie wearable captures synchronized video, audio, depth, hand tracking, gaze, body motion, and camera-pose data simultaneously with nanosecond-level precision, generating model-ready multimodal data without expensive robot fleets. The Xperience-10M dataset is the world's largest human experience dataset for Physical AI, open-sourced on Hugging Face.
Target customer
Robotics labs, embodied AI companies, spatial intelligence researchers, foundation model developers, and autonomous systems companies building Physical AI applications
Industries served
Robotics, Embodied AI, Spatial Intelligence, World Models, Autonomous Systems, Manufacturing, Research & Academia
Technology advantage
Proprietary Homie wearable with <50µs multi-stream synchronization; 50x cost reduction vs teleoperation; Xperience-10M dataset with 10M episodes across 5 modalities (visual, spatial, motion, inertial, semantic); End-to-end data pipeline from capture to model-ready output; Mass production capability for hardware deployment
How they differentiate
Unlike competitors that label existing data or use expensive teleoperation rigs, Ropedia generates original multimodal data through its Homie wearable, achieving 50x cost reduction. The synchronized multi-stream capture (video, depth, IMU, hand tracking, gaze, body motion) with nanosecond precision is unique, and the Xperience-10M dataset is the largest open-source human experience dataset for Physical AI.
Main competitors
Scale AI, Encord, Nferent AI, AgiBot World Colosseo
Key partnerships
Open-sourced Xperience-10M on Hugging Face, Released at NVIDIA GTC 2026, ShenDu Capital as long-term exclusive financial advisor
Notable customers
More than 20 robotics and foundation model companies across North America, China, and Singapore (specific names not publicly disclosed)
Major milestones
Founded H2 2025, Released Xperience-10M dataset (10M episodes, 10,000+ hours) at NVIDIA GTC March 2026, Open-sourced Xperience-10M on Hugging Face, Closed $8M seed round (March 2026), Closed $22M pre-Series A (July 2026), Homie wearable entered mass production, Serving 20+ robotics and foundation model companies across North America, China, and Singapore, Offices in Singapore, Mountain View CA, Kuala Lumpur, Shanghai
Market positioning
Ropedia positions itself as the data infrastructure layer for Physical AI, analogous to how data centers supported cloud computing and internet text supported language model training. It competes in the emerging physical AI data infrastructure space, differentiating through its proprietary Homie hardware and end-to-end data pipeline.
Geographic focus
Southeast Asia; North America; China
About Zhaoxi Chen
PhD candidate at MMLab@NTU (Nanyang Technological University) supervised by Prof. Ziwei Liu; Research Intern at Meta Reality Labs; Research Intern at University of Illinois Urbana-Champaign; B.Eng from Tsinghua University (2021); AISG PhD Fellowship recipient; Meta Research PhD Fellowship Finalist
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Official website: https://ropedia.com