Covariant Brain

The Covariant Brain is a universal AI Robotics platform designed to deliver human-level autonomy in warehouse automation. Powered by Robotics Foundation Models (RFM-1), it enables robots to see, think, and act in dynamic environments with minimal human oversight. Trained on millions of real-world episodes, the Covariant Brain adapts to new SKUs, packaging types, and operational scenarios from Day One, making it the most versatile and scalable AI solution for robotic picking and handling tasks.

Features

• Pre-trained on the largest real-world robotics dataset
• Out-of-the-box performance with no manual configuration
• Fleet learning across all connected robots
• Supports chaotic, tightly packed, and irregular item scenarios
• High-fidelity scene prediction and grasp accuracy
• Universal SKU recognition regardless of shape, size, or packaging
• Continuous updates and improvements via RFM-1 model evolution

Capabilities

• Operate autonomously in complex warehouse environments
• Pick virtually any item with high success rates
• Adapt to changing inventory and SKU turnover
• Learn from millions of robotic interactions across global fleets
• Integrate with leading warehouse automation systems
• Support multiple use cases including induction, sortation, and putwall
• Deliver scalable performance across apparel, health & beauty, grocery, and pharma sectors

Benefits

• Immediate value on Day One with no retraining required
• Reduced labor dependency and increased throughput
• Improved reliability and consistency in robotic operations
• Lower operational costs through automation and fleet learning
• Enhanced flexibility to handle SKU variability and seasonal changes
• Trusted by top global retailers and logistics providers
• Winner of the ABB Order Picking Competition for unmatched AI performance