Ropedia raises $22M to scale human-centric data collection for embodied AI
$22M. Singapore's Ropedia just closed Pre-Series A to solve the data bottleneck strangling embodied AI.

Why it matters
Embodied AI and robotics models are data-starved. Ropedia is capitalizing on the infrastructure gap by building the human-centric data collection layer that every physical AI company needs but can't build alone.
The key facts
5 to knowRopedia raised $22M in Pre-Series A funding
Singapore-based robotics data infrastructure firm
Focus: real-world, multimodal interaction data collection
Target market: Physical AI and embodied AI model developers
Core problem: shortage of real-world training data for robotics/embodied AI
Go to the source
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Publisher excerpt: Singapore-based robotics data infrastructure firm Ropedia Pte. Ltd. today announced it raised $22 million in Pre-Series A funding to scale up its collection of real-world, multimodal interaction data to fuel artificial intelligence robotics models developed by technology companies. Physical AI and…