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Augmentus secures investment to enhance AI robotics

Newsflash Asia

- October 27, 2025

Augmentus, a Singapore-based leader in AI robotics, has announced a strategic investment from Applied Ventures, the venture capital arm of Applied Materials Inc. This investment is set to propel Augmentus’s mission of advancing intelligent autonomous robotics for high-mix, high-variability manufacturing worldwide. The company’s flagship innovation, the AutoPath robotics stack, integrates advanced 3D vision and adaptive intelligence, enabling robots to perceive, understand, and act with unprecedented precision.

The AutoPath system generates detailed point clouds, allowing robots to capture intricate geometries and surface deviations. This capability translates into dynamic, real-time path generation, enabling robots to adjust their movements on the fly, thus maintaining accuracy in complex environments. This innovation eliminates the need for expert programming, allowing robots to be deployed and reconfigured in minutes, transforming them into adaptive collaborators in manufacturing processes.

Daryl Lim, co-founder and CEO of Augmentus, stated, “Our vision is to enable factories to adapt as quickly as the world changes.” With the backing of Applied Ventures, Augmentus aims to bring agility, precision, and resilience to global manufacturing. Abhishek Sud, Senior Investment Director at Applied Ventures, highlighted the investment’s significance, noting the growing importance of adaptive robotics in enhancing efficiency and resilience in the industrial sector.

Augmentus, with operations in both Singapore and Austin, Texas, offers a no-code AI-powered platform that integrates 3D scanning and adaptive robotic motion. This technology is already deployed across various industries, including aerospace, automotive, and energy, significantly reducing setup times and enhancing operational flexibility.

This story was selected and published by a human editor, with content adapted from original press material using AI tools. Spot an error? Report it here.

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