Singapore, September 30, 2026 — Clobotics, a Singapore-headquartered Physical AI company, has been named to the NextGen Tech 30 Class of 2026. The recognition highlights the company’s work applying computer vision, autonomous systems, and robotics to real-world operations in wind energy and retail.
The 2026 honourees were announced at the Singapore Exchange, where founders joined a gong-striking ceremony to open the trading day. Clobotics Founder and CEO George Yan also joined the Granite Asia Summit’s AI, Robotics & Automation panel to discuss how Physical AI moves from technical capability to dependable field execution.
A Singapore technology company taking AI into the physical world
Powered by Granite Asia in partnership with SGX Group, NextGen Tech 30 recognises 30 growth-stage technology companies with the potential to scale globally from Asia. The 2026 class spans AI in Industry, Agentic AI, and Core Technology, with more than half of the honourees applying AI in physical industries.
In its official 2026 announcement, Granite Asia lists Clobotics — Singapore — Autonomous drone inspection for infrastructure. Independent coverage from The Business Times also identifies Clobotics among the Singapore-based companies moving AI beyond software and into physical operations.
For Clobotics, that work connects visual intelligence with equipment, software, and field workflows. The company develops technology that helps wind operators understand blade condition and plan maintenance, while enabling consumer brands and retailers to convert store images into structured execution data.
Physical AI for wind turbine inspection and repair
Clobotics’ wind technology supports the blade lifecycle from evidence collection to maintenance action. Its autonomous drone inspection systems capture repeatable external blade data, while internal inspection, lightning protection testing, and the IRIS platform keep defects, reports, and repair decisions connected to the asset record. A detailed explanation is available in How Autonomous Wind Turbine Blade Inspection Works.
SPARROW extends this workflow into robotic leading-edge repair. During a 2026 commercial offshore campaign with Ørsted, the system set new benchmarks with a 27-minute repair on one blade and up to eight blades repaired in one day under suitable operating conditions. Read the evidence behind these record-setting offshore robotic blade repairs.
Retail image recognition for store execution
Clobotics also applies computer vision and retail image recognition to store operations. Shelf images and guided video can be converted into SKU-level information about product presence, availability, facings, placement, pricing, promotions, and branded assets.
The goal is not simply to classify an image. It is to give field and retail teams timely evidence they can use to correct execution. Learn how the system turns shelf video into structured SKU data in How Retail Product Recognition Works.
Across wind farms and retail stores, the operating principle is the same: Physical AI creates value when perception is connected to a practical workflow and a clear next action.
From AI capability to reliable field execution
At the Granite Asia Summit, Yan joined leaders from Granite Asia, Manycore, and Megarobo for a panel on AI, robotics, and automation. The discussion examined what it takes to turn intelligent models into products that can perform consistently in complex physical environments.
For Clobotics, the value of AI is not limited to a model or dashboard. It depends on whether a system can enter a real operating environment, identify a meaningful condition, support a decision, and do so repeatedly. This approach has shaped the company’s development from autonomous wind turbine inspection and robotic blade repair to retail image recognition and store execution intelligence.
Yan has previously described the same operating model in the context of both industries: observation becomes useful when it leads to action. Read more in From Turbine Blades to Retail Shelves: How Physical AI Scales Across Industries.
Building from Singapore for global field operations
Clobotics combines computer vision, AI, autonomous systems, and robotics to digitise physical operations. Headquartered in Singapore and serving customers across more than 40 countries and regions, the company develops wind and retail systems around repeatable deployment, customer evidence, and measurable operational outcomes.
Being named to the NextGen Tech 30 Class of 2026 reflects that focus: building innovative technology in Singapore, applying it to difficult real-world problems, and scaling it across global markets.
To discuss a wind or retail program, contact the Clobotics team.
