Mind Robotics Raises $500M in Series A Funding to Expand AI-Powered Industrial Robotics
Factories have always had a rhythm. Steel moving, conveyors humming, humans solving the weird problems machines cannot quite figure out. That strange gray zone between automation and instinct is exactly where Mind Robotics decided to build its brain. Founded by Rivian CEO RJ Scaringe, the Palo Alto company just secured a $500M Series A to push AI powered robotics into the messy, dexterous reality of industrial work. Accel and Andreessen Horowitz led the round, with Eclipse Capital already in the mix after backing the $115M seed in late 2025. Total raised now sits at $615M, and the valuation is circling the $2B mark. Not bad for a company that decided the future of AI might smell a little more like motor oil than server racks.
RJ Scaringe understands factories the way a seasoned pit boss understands a casino floor. Every second counts. Every inefficiency whispers. Mind Robotics grew out of that awareness inside Rivian, where real production lines double as a training ground for physical intelligence. Instead of teaching robots in a lab and hoping they behave in the wild, the company is building foundation models, robotic hardware, and deployment infrastructure together, right where the sparks fly. Real plants. Real tasks. Real scale. That feedback loop turns manufacturing data into a learning engine, and the more the robots work, the sharper the Mind gets.
Behind the curtain is a tight crew building the nervous system for that vision. Ruijie RJ He and Ury Zhilinsky are part of the founding technical muscle shaping how these machines perceive and move through unpredictable environments. Daniel Burrows is leading the data flywheel collection, which is a fancy way of saying the robots are constantly learning from the factory floor like apprentices that never sleep. Nisha Taparia is helping steer strategy and operations as the company grows from ambitious experiment into industrial platform. Meanwhile, Accel partner Sameer Gandhi is joining the board, bringing investor perspective to a company that plans to deploy robots where the work is actually happening.
The idea is simple but brutally hard. Traditional robots love repetition. Identical parts. Identical motion. Identical outcomes. Factories, on the other hand, thrive on chaos. Parts shift. Tolerances drift. Humans improvise. Mind Robotics is building systems that can reason through that chaos with AI models trained directly inside production environments. When the robot sees a problem it has not seen before, the goal is not panic. The goal is curiosity.
And that is why this moment matters. AI is spending a lot of time talking to itself inside data centers. Mind Robotics is sending intelligence into the physical world where gravity, friction, and human unpredictability keep score. When software learns to think with hands, factories start to feel less like rigid assembly lines and more like living systems. The kind where every cycle teaches the next one something new.
