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§ Private Profile · Shanghai, China
XYZ Robotics is a technology company.
XYZ Robotics develops Mobile Manipulation Robots (MMR), including the RockyOne and RockyLight series, for logistics automation. These robotic systems automate demanding warehouse operations such as truck loading, unloading, mixed case palletizing, and case picking. Their technology integrates advanced perception and manipulation, streamlining material handling and enhancing efficiency in industrial environments.
Founded in 2018 by CEO Jiaji Zhou and CTO Peter KT Yu, XYZ Robotics emerged from the insight that robotic picking and 3D machine vision could transform labor-intensive warehousing. Their aim was to address inefficiencies and physical demands, developing automated solutions to improve throughput and operational collaboration.
The company's solutions are adopted by customers in diverse sectors like food, apparel, and electrical manufacturing, optimizing inbound and outbound supply chains. XYZ Robotics' mission centers on automating repetitive material handling tasks, contributing to a future where intelligent robots elevate global logistical efficiency.
XYZ Robotics has raised $103.0M across 4 funding rounds.
XYZ Robotics has raised $103.0M in total across 4 funding rounds.
XYZ Robotics has raised $103.0M in total across 4 funding rounds.
XYZ Robotics's investors include Gaorong Capital, 5Y Capital, Granite Asia, Morningside Capital, Source Code Capital.
XYZ Robotics has raised $103.0M across 4 funding rounds. Most recently, it raised $40.0M Series B in June 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jun 1, 2022 | $40M Series B | — | Gaorong Capital | Announced |
| Jul 1, 2021 | $35M Series B | — | Gaorong Capital | Announced |
| Aug 1, 2020 | $20M Series A | — | 5Y Capital, Gaorong Capital, Granite Asia, Morningside Capital, Source Code Capital | Announced |
| Aug 1, 2019 | $8M Series A | — | 5Y Capital, Gaorong Capital, Granite Asia | Announced |
# XYZ Robotics: AI-Enabled Logistics Automation Pioneer
XYZ Robotics develops AI-enabled robotic perception and manipulation technology designed to automate logistics and manufacturing operations.[3] The company builds Mobile Manipulation Robots (MMR) that handle complex tasks in warehouse environments, particularly truck loading, unloading, and case picking operations.[5] Founded in 2018, XYZ Robotics addresses a critical labor shortage in e-commerce fulfillment by creating autonomous systems that are faster, more accurate, and more cost-effective than manual alternatives.[2]
The company serves third-party warehouse owners, logistics providers, and manufacturing facilities across the U.S. and East Asia.[2] Its core problem-solving approach combines deep learning and computer vision to enable robots to perceive their environment and handle a wide variety of items without requiring extensive training on individual products.[2] This capability is particularly valuable in e-commerce, where supply chains must process millions of different SKUs (stock keeping units) with high speed and reliability.
XYZ Robotics was founded in 2018 with dual headquarters in Shanghai, China and Allston, Massachusetts.[3][6] The company emerged from a clear market need: e-commerce operations face chronic labor shortages and high employee turnover, yet require rapid and accurate picking and placement of diverse objects.[2]
Peter Yu, the company's Chief Technology Officer and co-founder, led the development of the company's core technology.[2][6] Yu and his team adopted a needs-based development approach, keeping their focus on vision-driven automation.[2] Rather than building systems that require manual training on each new product type, they developed self-supervised machine learning capabilities that allow robots to confidently handle previously unseen items after learning from diverse training data collected in both laboratory and customer facility environments.[2]
XYZ Robotics operates at the intersection of three powerful trends reshaping industrial automation. First, the acute labor shortage in logistics and e-commerce has created urgent demand for autonomous solutions that can operate continuously without the turnover challenges plaguing human-dependent warehouses.[2] Second, advances in deep learning and computer vision have matured to the point where robots can now perceive and adapt to complex, unstructured environments—a capability that was impractical just years ago.[3] Third, the explosive growth of e-commerce has created massive scale requirements that make automation economically viable for warehouse operators.
The company's focus on perception and manipulation rather than just movement represents a broader industry shift toward robots that can interact intelligently with their environment. This convergence of mechanical precision with sensory intelligence is reshaping how automation handles the "last mile" of logistics—the most labor-intensive and variable operations in supply chains.[1]
XYZ Robotics is well-positioned to capture significant market share in logistics automation as e-commerce continues to scale globally. The company's self-supervised learning approach addresses a fundamental pain point: the inability of traditional robotic systems to generalize across diverse product types without extensive retraining. This scalability advantage becomes more valuable as warehouse operators seek to automate increasingly complex, variable operations.
Looking ahead, the company's expansion into mobile manipulation robots—particularly the Rocky platform for truck loading and unloading—signals ambitions beyond stationary warehouse systems. As supply chains become more automated end-to-end, companies that can bridge the gap between warehouse interiors and logistics hubs will gain outsized influence. XYZ Robotics' trajectory suggests it aims to become a foundational platform for autonomous logistics, not merely a point solution for picking operations.