Augmentus gets funding to scale robotics software for high-mix production

Industrial automation has traditionally been designed for high-volume, low-mix manufacturing, but robotics software providers are working to enable high-mix production. Augmentus today said it has received a strategic investment from Applied Ventures LLC as it provides systems for high-variability manufacturing.

“Our vision is to enable factories to adapt as quickly as the world changes,” stated Daryl Lim, co-
founder and CEO of Augmentus. “With the support of Applied Ventures, we are accelerating toward a future where robots can truly see, understand, and act — bringing agility, precision, and resilience to global manufacturing.”

Founded in 2019, Augmentus claimed that its “no-code” platform uses artificial intelligence and integrates 3D scanning, automatic toolpath generation, and adaptive robotic motion to automate complex processes with speed and flexibility. The company, which has offices in Singapore and Pflugerville, Texas, said it  serves aerospace, automotive, energy, and heavy industry.

AutoPath stack gives robots ‘adaptive intelligence’

“We’re advancing a new generation of hyper-adaptive robotic systems that can adjust to part variation, orientation changes, and real-time process feedback—automatically and without downtime,” Lim told The Robot Report.

Augmentus said it has designed its AutoPath stack to be “both the eyes and the brains of industrial robots.” The system enables robots to perceive, understand, and act, explained the company.

“This adaptability is critical to achieving closed-loop, autonomous manufacturing, where robots can respond to unpredictability just as a skilled human would,” said Lim. “Our focus is making this not just technically possible, but [also] reliable and deployable at scale.”

By generating precise point clouds, AutoPath allows robots to capture even the most intricate geometries and surface deviations, asserted Augmentus. These insights are then translated into dynamic, real-time path generation, enabling robots to adjust motion on the fly for appplications such as spraying, finishing, and welding.

“This convergence of perception and cognition creates a true no-code intelligence layer, eliminating the reliance on expert programming and manual robot teaching,” the company said. “Robots can now be
deployed and reconfigured in minutes, not hours or days, transforming them from rigidly preprogrammed
machines into adaptive collaborators capable of learning from and responding to the variability of real-world production.”

The software is compatible with major industrial automation brands.

Augmentus accelerates R&D, commercial deployments

Augmentus raised Series A+ funding in July and said plans to use its latest investment to continue growing globally.

“This investment enables us to scale where it matters most,” said Lim. “We’re expanding delivery capacity across APAC and North America to ensure that systems already booked by customers are delivered efficiently and fully supported. At the same time, we’re accelerating R&D to bring hyper-adaptive robotics from specialized deployments into broader, high-mix production environments.”

“Over the next 12 months, we’re working toward full-scale deployment with major manufacturers in aerospace and heavy industry—sectors where precision, uptime, and adaptability are essential,” he added. “We’re also deepening partnerships with top-tier system integrators in Germany, the U.S., and Southeast Asia to support rapid rollout and localized service as demand grows.”

Strategic investor Applied Ventures is the venture capital arm of Applied Materials Inc. For more than a decade, the company has supported startups working on technologies including robotics, machine learning, sensors, and augmented and virtual reality.

“At Applied Ventures, we invest in innovative companies that are driving breakthroughs in AI, automation, and advanced manufacturing,” said Abhishek Sud, senior investment director at Applied Ventures. “Our investment in Augmentus underscores the rising importance of adaptive robotics in enabling efficiency and resilience in a rapidly evolving industrial landscape.”