Augmentus raises $11M to scale physical AI for robotic welding

Augmentus, a maker of intelligent no-code robotics for manufacturing, said it has raised $11 million in funding.

The Singapore company’s aim is to scale physical AI (a market Nvidia’s CEO Jensen Huang calls a $50 trillion market opportunity) for complex robotic surface finishing and welding.

The funds will be used to accelerate regional deployment of its fully autonomous robotic surface finishing and welding systems, fulfill demand from marquee manufacturing customers, and advance R&D into hyper-adaptive, AI-driven robotic systems built for the factory floor.

The round was led by Woori Ventures, with participation from new investor EDBI, alongside returning backers Sierra Ventures and Cocoon Capital.

“We’re seeing unprecedented demand—and this round enables us to deliver. It allows us
to fulfill our growing backlog while accelerating R&D into hyper-adaptive robotics that can
perceive and respond on the fly, even in chaotic, high-mix environments where no two
parts are alike. These are the hardest problems in automation—surface finishing, material
removal, welding—and we’re solving them at scale,” said Daryl Lim, CEO of Augmentus, in a staetment. “With world-class partners across Asia, the U.S., and Europe, we’re not just
building robotic software — we’re building the future of intelligent manufacturing.”

Solving the bottleneck in manufacturing automation

Despite growing interest in robotics, most manufacturers are held back by the same challenge: programming remains complex, time-consuming, and rigid—especially in high-mix, low-volume environments.

Augmentus directly addresses this bottleneck. Acting as both the eyes and the brain of the robot, its system eliminates the need for manual coding by combining industrial 3D scanning, AI-driven path planning, and adaptive motion control. Robot programs are generated in minutes, not days—enabling manufacturers to automate even the most variable, geometry- sensitive tasks without the need for robotics experts or production downtime.

“We’re not here to add another buzzword to the mix,” Lim added. “We’re here to deliver
working systems that solve real problems—and that’s what this funding allows us to scale.”

Augmentus’ vision system captures the geometry of a complex airplane wing workpiece using high-precision 3D scanning. The scanned data is then processed through the AutoPath software, enabling operators to automatically generate accurate toolpaths without coding—dramatically reducing programming time and eliminating manual teach-in.

Scaling with customers and integrators

An Augmentus engineer deploying the solution on-site at a customer’s facility. Source: Augmentus

With over 50 systems sold across more than 6 countries—including Australia, Singapore,
North America, and Germany—Augmentus is now focused on scaling execution capacity and delivery. This next phase of growth will be driven by a two-pronged approach: direct
engagement with end clients, and a growing network of trusted system integrators. Both play a critical role in extending reach, enabling local support, and embedding Augmentus’
solution into existing production workflows.

“Collaborating with Augmentus has enabled us to bring a new level of flexibility and
reliability to shot peening automation,” said Volker Schneidau, managing director of Sentenso GmbH, an Augmentus system integrator partner. “Their 3D scanning and AI-powered path planning technology complements our expertise in shot peening, resulting in systems that are easier to deploy, faster to set up, and capable of handling a wide variety of parts with confidence. Throughout our partnership, Augmentus has demonstrated a strong commitment to practical innovation and shared knowledge, helping us deliver advanced automation solutions that meet the evolving needs of our customers.”

Building the next generation of adaptive automation with augmented robotics

With this raise, Augmentus will accelerate development of Augmented Robotics—a new class of hyper-adaptive systems capable of real-time adjustment to part variation, orientation shifts, and dynamic in-process feedback. These capabilities are essential for realizing the vision of closed-loop, autonomous manufacturing.

AI is not a buzzword in this context—it’s the core intelligence layer powering motion adaptation, process optimization, and flexible deployment across high-mix, path-sensitive
operations. By combining industrial 3D scanning, AI path planning, and adaptive motion
control, Augmentus is enabling robots to handle complexity that once required human
intuition.

While much of the robotics space remains in the pilot phase, Augmentus has moved into
full-scale commercial deployment. Its solution has helped manufacturers cut programming time by up to 90%, reduce robot downtime from hours to minutes, and significantly lower the barrier to automation for non-technical teams. This shift enables manufacturers to realize faster ROI, particularly in industries where high product variability has historically made automation unviable.

Dean Takahashi

Dean Takahashi is editorial director for GamesBeat. He has been a tech journalist since 1988, and he has covered games as a beat since 1996. He was lead writer for GamesBeat at VentureBeat from 2008 to April 2025. Prior to that, he wrote for the San Jose Mercury News, the Red Herring, the Wall Street Journal, the Los Angeles Times, and the Dallas Times-Herald. He is the author of two books, "Opening the Xbox" and "The Xbox 360 Uncloaked." He organizes the annual GamesBeat Next, GamesBeat Summit and GamesBeat Insider Series: Hollywood and Games conferences and is a frequent speaker at gaming and tech events. He lives in the San Francisco Bay Area.