Augmentus
Canvas Category Software : Operational Technology : Industrial Robot
Augmentus, a no-code AI robotics programming platform, allows companies to deploy complex industrial robots with high accuracy in a short time
Assembly Line
Augmentus Raises Oversubscribed USD 5M Series-A Round to Bring No-Code Robotics to the World
Augmentus, a leader in no-code robotics software, has successfully raised USD 5M in Series-A funding. The round was led by Sierra Ventures, along with Cocoon Capital. The funds will be used to scale operations in the US, Europe, and Asia, meeting increasing customer demand of various industries and sizes. As part of its expansion plans, Augmentus will leverage its Augmentus System Partner (ASP) program to onboard system integrators and channel partners, focusing on high-mix and complex manufacturing. A portion of the investment will also be allocated to intensify research. Augmentus has supplied to more than 30 manufacturers worldwide, including Fortune 500 companies. The platform is compatible with over ten major robot OEMs, including ABB, Kawasaki, and Kuka.
Industrial Automation for Spraying and Shot Peening
Spraying and shot peening are processes used to increase the life span of metal parts in machinery. This procedure is commonly used in the aerospace and marine industry where metal structures need to cope with harsh environmental conditions. As companies try to maximise profits, industrial automation for spraying and shot peening that helps minimise repair costs have gained popularity.
The Augmentus Platform eliminates the need for coding and robot teaching even for complex surface treatment applications. Our technology allows users to accurately 3D scan parts and automatically generate optimized robot path planning. Therefore, companies are able to easily and rapidly deploy robots without the need for robotic experts, even in a high-mix production environment.
This Startup's Software Programs Industrial Robots, Without Coding
Singapore-based startup Augmentus, founded by IEEE Member Daryl Lim, Yong Shin Leong, and Chong Voon Foo, is trying to make automation more accessible with its intuitive robot-programming platform.
By making industrial robots easier to program, Lim says, the software can help businesses increase efficiency and reduce costs—which would in turn help retain local manufacturing jobs.