Mecka AI是一家通过收集和分析人类运动数据来训练人形机器人及其他类型机器人的初创公司，该公司宣布已完成由红杉资本领投的6000万美元B轮融资，英伟达、微软风投基金M12及其他投资方也参与了本轮融资。TechCrunch此前曾报道，该初创公司正接近以5亿美元估值完成新一轮融资。
Mecka AI, a startup that collects and analyzes human motion data to train humanoid robots and other kinds of robots, announced it has raised a $60 million Series B round led by Sequoia, with participation from Nvidia, Microsoft’s venture fund M12, and others. TechCrunch had previously reported that the startup was nearing a new funding round at a $500 million valuation.
该公司成立于2024年，旨在为机器人领域实现Scale AI、Mercor、Surge等数据标注公司为大语言模型（LLM）所做的事情。这些公司为系统提供用于学习的人类生成数据。Mecka支付报酬让人们在佩戴身体传感器并使用智能手机的情况下，录制自己执行日常任务（如煮咖啡或修车）的过程。
Founded in 2024, the startup intends to do for robotics what Scale AI, Mercor, Surge, and other data-labeling companies have done for LLMs. Those companies supply the human-generated data these systems learn from. Mecka pays people to record themselves doing everyday tasks, like making coffee or fixing cars, while wearing body sensors and using smartphones.
其他为机器人训练收集真实世界数据的初创公司包括XDOF，据TechCrunch此前报道，XDOF正洽谈以12亿美元估值进行B轮融资。此外，一些最初服务于大语言模型的人类数据平台也在向机器人领域扩展，例如Scale AI和Micro1。
Other startups that collect real-world data for robot training include XDOF, which was in talks to raise a Series B round at a $1.2 billion valuation according to TechCrunch’s previous reporting. Human-data platforms that began with LLMs are also expanding into robotics, such as Scale AI and Micro1.