GreyOrange, a leader in warehouse orchestration software and hardware, has announced a groundbreaking collaboration with Google Cloud. Together, they are set to launch GreyMatter DeepNav, an innovative AI-powered solution for dynamically managing and optimizing autonomous robotic operations at scale.
This exciting development marks a significant advancement in warehouse management, particularly for sectors such as retail, logistics, and supply chain. GreyMatter DeepNav promises to introduce unparalleled levels of automation, efficiency, and accuracy, transforming how warehouses operate worldwide.
In large warehouses, Autonomous Mobile Robots (AMRs) are increasingly leveraged to streamline tasks across the work floor, encompassing everything from receiving shipments to storage, picking orders, packing, and shipping products. However, despite the benefits of AMRs, many companies encounter challenges related to the lengthy ramp-up times associated with new deployments. This delay can hinder productivity and innovation, ultimately affecting the profitability of these operations.
Traditionally, most warehouse robots operate based on hand-crafted rules, with limited input from machine learning. This approach can make it difficult to add or modify AMRs, often requiring costly and time-consuming human intervention. As a result, many operators find it challenging to fully adopt and scale robotic systems, limiting their potential in the logistics landscape.
Built on Google Cloud’s Vertex AI platform, GreyMatter DeepNav aims to resolve these critical issues. By enhancing GreyOrange’s proprietary multi-agent orchestration capabilities—proven effective in some of the most complex warehouse environments globally—DeepNav will dramatically reduce the time and effort needed to train new AMRs for intelligent path planning. This means operators can expect a faster implementation of AMRs across fleets that may include robots from multiple vendors.
With the integration of Google Cloud’s reinforcement learning capabilities, AMRs operating under GreyMatter DeepNav will achieve optimal navigation and task execution paths within weeks rather than months. This rapid adaptation is crucial, especially in dynamic and high-density settings where conditions might change frequently.
Unlike traditional solutions that often struggle to scale beyond a few hundred units, GreyMatter DeepNav is designed to manage significantly larger robotic operations—easily accommodating thousands of units with precision and efficacy. This capability fundamentally changes the landscape of warehouse automation, addressing the industry-standard limitations imposed on scalability.
GreyMatter DeepNav will include several key features aimed at revolutionizing warehouse management:
- AI-driven path planning for real-time navigation in dynamic warehouse layouts.
- Real-time decision-making among heterogeneous agent types.
- Reinforcement learning–powered navigation and task assignment.
- Dynamic task linking, interleaving, and Service Level Agreement (SLA)-sensitive execution.
- Scalable control of thousands of agents operating in both structured and unstructured environments.
Akash Gupta, co-founder and CEO of GreyOrange, emphasizes the transformative vision behind GreyMatter: “We view the warehouse as a living ecosystem. GreyMatter doesn’t just connect hardware; it applies AI to orchestrate robots, people, and systems in real time. This new solution, trained on billions of real-world actions, will bring next-level intelligence to that layer—helping operators innovate without waiting months for payback.”
Paula Natoli, global director of supply chain and logistics strategy and solutions at Google Cloud, adds: “The future of warehouse operations is intelligent, adaptive, and seamlessly orchestrated. With Google Cloud’s Vertex AI, we’re providing the foundational machine learning capabilities, including advanced reinforcement learning, that allow innovative partners like GreyOrange to develop solutions that can accelerate AMR deployment and scale to thousands of robots. This represents a monumental leap in warehouse optimization, turning complex data into real-time operational excellence and unlocking unprecedented efficiency for global supply chains.”
Gupta further states, “We’re not just accelerating robotics—we’re shaping the next generation of warehouse intelligence. Our GreyMatter warehouse orchestration platform optimizes up to 1 million AMR operations per minute, and with each action, we gain deeper insights into how robotic systems behave under real-world conditions. For the first time, we’re capturing that learning in a way that OEMs and integrators can use directly—especially around how robots move and respond in real-world settings—a critical foundation for safe, scalable path planning.”
In partnership with Google Cloud, GreyOrange is poised to unlock a new era of rapid deployment and smarter warehouse automation. GreyMatter DeepNav is set to become available in early 2026, and the logistics industry is watching closely for its rollout.