TREE NEWS update: Mifeng Technology chairman and CEO Yao Maoqing unveiled Mifenghui, billed as the world’s first full-category high-quality physical AI data crowdsourcing platform, at a Shanghai launch event. Users download the app, take data-collection assignments and wear MEgo devices to perform specified tasks in retail, warehousing, manufacturing and home settings, earning pay based on audited valid data hours. A one-month beta drew 20,000 registered users and 13,000 submissions.
Mifeng Tech Launches Physical AI Data Crowdsourcing Platform
The pitch here is that physical-world data, not scraped text, becomes the scarce input for embodied AI — and Mifeng is trying to own the collection layer by paying ordinary users for verified task hours. The beta numbers suggest supply-side appetite exists, but the real test is whether audited validity holds up across retail, warehouse and home settings, where data quality varies far more than in a lab. Whether enterprises actually buy this data, and whether the MEgo hardware requirement scales beyond early adopters, is the open question.
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