Singapore-based Ropedia secured $22 million in pre-Series A funding to expand its platform that converts video footage into machine learning-ready multimodal datasets. The startup specializes in capturing real-world human experience data for AI model training.
Ropedia, a robotics data infrastructure company, announced the funding round as it scales operations in the competitive AI training data market. The platform automates the process of transforming raw video into annotated, structured datasets compatible with machine learning frameworks.
The company targets enterprises building computer vision and robotics models that require diverse, real-world training data. By processing video at scale, Ropedia addresses a critical bottleneck in AI development: obtaining high-quality, labeled datasets that reflect genuine human behavior and environmental conditions.
The pre-Series A raise positions Ropedia for a Series A round and reflects growing investor interest in data infrastructure plays. As generative AI and robotics development accelerate, demand for standardized, multimodal training datasets continues to expand across industries including autonomous vehicles, manufacturing, and healthcare.
Ropedia joins a growing cohort of startups focused on data pipeline optimization rather than model development itself.
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