TREE NEWS update: Mifeng Technology, an embodied-intelligence data collection platform, aims to reach annual capacity of 10 million hours by the end of this year and lift that by an order of magnitude in 2027, chairman and CEO Yao Maoqing said in a Sept. 23 interview with media including The Paper. Data demand has already reached the tens-of-millions-of-hours level, and top clients are shifting toward exclusive, dedicated collection arrangements, Yao said.
Mifeng Tech Targets 10M Hours of Embodied AI Data by Year-End
The headline number matters less than the contracting model behind it. A shift toward exclusive, dedicated collection by top clients signals that embodied-AI datasets are becoming a supply-constrained input rather than a commodity, which would concentrate advantage among platforms that can lock in capacity early. Whether that exclusivity spreads down the client base, or stays a top-tier arrangement, is the open question for anyone tracking how robotics data markets formalize.
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