[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-mecka-ai-raises-60m-so-humans-can-train-robots":10,"sections":35},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},10532,"mecka-ai-raises-60m-so-humans-can-train-robots","Mecka AI Raises $60M So Humans Can Train Robots","Sequoia-backed Mecka AI pays everyday people to record themselves doing chores, building the motion datasets humanoid robots need to learn basic tasks.","Mecka AI just raised $60 million to keep paying strangers to do chores on camera.\n\nThe startup, backed by Sequoia Capital, collects and analyzes human motion data: footage of people performing everyday tasks, turned into datasets that train humanoid robots and other kinds of robots. Workers get paid to record themselves doing routine activities, and Mecka AI processes that footage into structured training data. The $60 million round gives the company more capital to scale up that data-collection pipeline.\n\nHumanoid robots are only as good as the training data behind them, and real-world motion data is scarce and expensive to collect at scale. Mecka AI's bet is that paying ordinary people to do mundane tasks is a faster, cheaper way to build that data than motion-capture studios or simulation alone. Sequoia's willingness to write a $60 million check suggests investors increasingly see robot training data as its own market, separate from the robots themselves.\n\nIt's the data-labeling playbook from the early AI boom, just applied to robots that fold laundry instead of chatbots that answer emails.","[\"robotics\",\"training-data\",\"funding\",\"sequoia-capital\"]","2026-10-07T23:36:57.000Z","2026-10-08T14:54:35.063Z","2026-10-08T14:54:39.444Z","published",null,[],"startups",[26,27,28,29],"robotics","training-data","funding","sequoia-capital",[31],{"name":32,"url":33},"TechCrunch","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F10\u002F07\u002Frobot-data-startup-mecka-ai-nabs-60m-from-sequoia\u002F",0,{"sections":36},[37,42,47,52,57,62,67,72,77,80,85,90,95,100],{"name":38,"slug":39,"count":40,"latest_published_at":41},"AI","ai",6375,"2026-10-07T18:30:57.000Z",{"name":43,"slug":44,"count":45,"latest_published_at":46},"Security","security",902,"2026-10-07T19:53:42.000Z",{"name":48,"slug":49,"count":50,"latest_published_at":51},"Policy","policy",473,"2026-10-07T18:23:21.000Z",{"name":53,"slug":54,"count":55,"latest_published_at":56},"Deals","deals",453,"2026-10-07T23:58:31.000Z",{"name":58,"slug":59,"count":60,"latest_published_at":61},"Hardware","hardware",222,"2026-10-07T21:19:54.000Z",{"name":63,"slug":64,"count":65,"latest_published_at":66},"Science","science",186,"2026-10-06T21:20:39.000Z",{"name":68,"slug":69,"count":70,"latest_published_at":71},"Consumer Tech","consumer-tech",173,"2026-10-07T17:41:41.000Z",{"name":73,"slug":74,"count":75,"latest_published_at":76},"Software","software",113,"2026-10-07T18:10:00.000Z",{"name":78,"slug":24,"count":79,"latest_published_at":18},"Startups",112,{"name":81,"slug":82,"count":83,"latest_published_at":84},"Dev Tools","dev-tools",105,"2026-10-07T16:59:11.000Z",{"name":86,"slug":87,"count":88,"latest_published_at":89},"General","general",59,"2026-10-07T21:16:18.000Z",{"name":91,"slug":92,"count":93,"latest_published_at":94},"Gaming","gaming",56,"2026-10-07T12:00:00.000Z",{"name":96,"slug":97,"count":98,"latest_published_at":99},"Reviews","reviews",33,"2026-10-05T11:57:17.000Z",{"name":101,"slug":102,"count":103,"latest_published_at":104},"How-To","how-to",8,"2026-10-05T09:00:00.000Z"]