The brief

Analyst view

• MujinOS removes manual programming using physical AI and real-time digital twins to perceive, plan and control robot motion.
• Handles variable SKUs at 600-1,000 cases/hour with automatic pattern optimization for palletizing.
• Series D (Dec 2025) raised $233M ($133M equity plus $100M debt) led by NTT Group and Qatar Investment Authority.

Technical approach

As reported

Digital Twins

Real-time simulation

A digital replica of robot and workspace updates constantly from sensors, letting the system plan and simulate motions before execution.

Physical AI

Autonomous decision-making

The system uses control algorithms, motion planning, and optimization to handle diverse objects and changing layouts without human reprogramming.

Gripper Tech

Advanced clamping grippers

Custom clamping gripper technology enables handling of mixed case types and sizes, automatically optimizing stacking patterns based on physical properties.