Insider Brief
- Rivian spinout Mind Robotics raised $500 million in a Series A round co-led by Accel and Andreessen Horowitz, following a $115 million seed round led by Eclipse Capital in 2025.
- The Palo Alto–based company is developing AI-enabled robotic systems designed to automate complex manufacturing tasks that require dexterity, adaptability and real-time decision-making.
- Mind Robotics said the funding will support development of its robotics platform, including AI models, robotic hardware and deployment infrastructure, while expanding pilot programs and scaling engineering and manufacturing teams for industrial deployment.
Rivian spinout Mind Robotics announced it has raised $500 million in a Series A funding round to develop and deploy artificial intelligence-enabled robotic systems for industrial applications.
The round was co-led by Accel and Andreessen Horowitz and is expected to close later this month, according to the company. Accel partner Sameer Gandhi will join Mind Robotics’ board as part of the investment. The financing follows a $115 million seed round led by Eclipse Capital in late 2025.
Mind Robotics is developing robots designed to perform manufacturing tasks that require dexterity, adaptability and real-time decision-making. The company said many factory processes remain difficult to automate because traditional industrial robots are optimized for repetitive tasks with consistent conditions.
What Will the Capital Fund?
Mind Robotics said the funding will be used to expand development of its industrial robotics platform, including AI models, robotic hardware and deployment infrastructure designed to automate complex manufacturing tasks. The company also plans to scale pilot deployments and grow its engineering and manufacturing teams as it prepares for broader industrial adoption.
The Palo Alto–based company was founded in 2025 by Rivian CEO RJ Scaringe. Mind Robotics operates in partnership with Rivian, which serves as a major shareholder and provides a manufacturing environment where the company can train and test its robotic systems using real-world production data.
“As AI enters the physical world, we believe the largest, at-scale application for advanced robotics will be across the industrial sector,” Scaringe said in the announcement. “Advanced robotics are going to be critical for global competitiveness, as well as addressing the substantial industrial labor shortages that exist today. We’re building robots that will perform real tasks, in real plants, at real scale.”
