A $500 million Series A round has propelled Mind Robotics to a $2 billion valuation just months after spinning out from electric vehicle maker Rivian. The industrial robotics startup secured funding co-led by venture firms Accel and Andreessen Horowitz in what ranks among the largest early-stage financings ever for a robotics company.
The Palo Alto-based company now commands $615 million in total capital following a $115 million seed round led by Eclipse in late 2025. Mind Robotics emerged as Rivian's second strategic spin-off last year, following electric mobility venture Also.
Unlike the humanoid robots dominating recent robotics hype cycles, Mind Robotics focuses on practical industrial automation systems designed for manufacturing environments. The startup plans to use data from Rivian's own electric vehicle factories to train its AI models, providing what founder RJ Scaringe calls "a very large data flywheel" for development.
Scaringe, who serves as both Rivian CEO and Mind Robotics chairman, told The Wall Street Journal that "a large number of robots" will be deployed by year's end. The company aims to address what it describes as structural gaps in current industrial automation solutions.
Accel partner Sameer Gandhi will join Mind Robotics' board as part of the deal, which is expected to close later this month. The financing comes as manufacturers face persistent labor shortages and pressure to modernize aging production lines.
Mind Robotics represents a departure from flashy humanoid demonstrations toward systems meant for immediate industrial application. Scaringe has emphasized focusing on conventional factory robot designs rather than humanoid models that have attracted attention but delivered limited manufacturing utility.
The startup's integrated platform combines foundational artificial intelligence models with hardware specifically engineered for industrial deployment at scale. This approach positions Mind Robotics to capitalize on what industry observers see as accelerating demand for automation solutions across manufacturing sectors.
