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Singapore startup Ropedia raised $30 million in pre-A funding to expand its platform for collecting real-world multimodal data to train robots and embodied AI systems. Its HOMIE wearable device captures synchronized first-person video, audio, depth, gaze, and motion data, reducing collection costs by up to 50 times.
Singapore-based Ropedia raised $22 million in Pre-Series A funding to scale real-world multimodal data collection for embodied AI. The company's HOMIE wearable captures human interaction video, which is synchronized and annotated into model-ready datasets. Ropedia supplied over half the data for AI2's MolmoMotion 3D motion forecasting model.
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