Covariant

Covariant Brain: AI Robotics platform powering the future of automation

Covariant Brain is an AI-powered robotics platform designed to enable autonomous, high-performance picking and automation across warehouse operations. Trained on a vast multimodal robotics dataset gathered from warehouses worldwide and powered by the RFM-1 framework, Covariant Brain aims to achieve human-level autonomy on Day One, driving efficiency, accuracy, and scalability for fulfillment centers and distribution networks.

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Overview

• Purpose-built for warehousing: Automates a wide range of picking use cases and adapts to dynamic demand and changing product mixes.
• Fleet-scale learning: Leverages learnings from the Covariant network to continually improve performance across multiple robots and facilities.
• Industry-ready: Trusted by leading fulfillment companies to address labor gaps, fluctuations in demand, and throughput requirements.

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How It Works

1. Unified AI Robotics Platform: The Covariant Brain integrates perception, planning, and manipulation to enable robots to pick virtually any SKU on Day One.
2. Multimodal Training: Trained on millions of episodes across diverse warehouse scenarios, enabling robust grasping, robust object recognition, and adaptable manipulation.
3. Fleet Learning: Robots share experiences to accelerate learning across the fleet, reducing time to value for new environments.
4. Dynamic Adaptation: Designed to handle changing and dynamic business needs, enabling quick reconfiguration for new SKUs and workflows.

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Use Cases

• Autonomous order picking and item localization
• Sorting, packing assistance, and replenishment tasks
• Handling fluctuating demand and seasonal spikes
• Scalable deployment across multiple warehouse locations

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Safety and Compliance

• Designed to operate in industrial environments with robust perception and collision avoidance
• Adheres to standard safety practices for automated warehouse systems

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Core Features

• End-to-end AI robotics platform for warehouse automation
• Day One autonomy with multi-SKU picking capabilities
• Multimodal perception and manipulation trained on large industrial datasets
• Fleet learning to share knowledge across robots and facilities
• Robust handling of dynamic and changing business needs
• Scalable deployment across multiple warehouses and locations
• Trusted by top fulfillment companies for labor efficiency and throughput
• Privacy-conscious data handling with enterprise-grade security