Mind Robotics Raises $400M To Expand AI Industrial Robotics Platform

Mind Robotics has raised $400 million in funding, led by Kleiner Perkins, elevating its total capital to over $1 billion and its valuation to $3.4 billion—achieved less than six months after its founding. The round includes participation from Meritech Capital, Redpoint Ventures, SV Angel, and other investors, following earlier funding rounds of $115 million in late 2025 and $500 million in March 2026. The company was created to address manufacturing challenges requiring precision, judgment, and flexibility, areas where traditional automation falls short. Mind Robotics offers a full-stack robotics platform combining AI foundation models, custom hardware, and deployment infrastructure. Its robots are already operational in Rivian’s factories, serving as testbeds for scaling and refining capabilities. The new funding will accelerate expansion into active factories, improve AI-driven robotic behavior, and hire more engineers for hardware and operations. The goal is to develop robots capable of human-like adaptability, tackling repetitive and physically demanding tasks in industries facing labor shortages. RJ Scaringe, the company’s founder, has highlighted the need for scalable robotic solutions to help regions like the U.S. compete with lower-cost manufacturing markets. Investors back Mind Robotics’ integrated approach, believing future factories will rely on adaptive AI-driven robots. The company plans to deploy its systems in complex manufacturing settings, using real-world data to enhance reasoning and movement. Factory partners are expected to benefit from shorter training cycles and improved efficiency as robots gain experience. Mind Robotics’ strategy focuses on closing the gap between rigid automation and human flexibility, targeting high-volume production environments. The funding will also support testing advanced robotic units in dynamic factory conditions, further refining precision and adaptability. The company aims to become a leader in industrial robotics by combining AI, hardware innovation, and real-world deployment.