Augmentus, a leading provider of intelligent and no-code robotics software solutions, has successfully concluded a USD 5 million Series A funding round led by Silicon Valley-based venture capital firm Sierra Ventures, accompanied by the participation of existing seed investor Cocoon Capital.

Conventional robot programming has been marked by fragmentation and high costs, with proprietary programming languages requiring extensive training for robot operation. Augmentus aims to disrupt the industrial robotics software market, projected to reach USD 47 billion by 2030, with its no-code, vision-based robotics system. The proprietary technology acts as the eyes and brains of industrial robots, capturing spatial information through 3D cameras and feeding it into an AI model. This results in an optimal path recommendation for the robot, eliminating the need for technical expertise and reducing downtime during reprogramming. Augmentus has demonstrated the ability to reduce process automation time from four weeks to just 15 minutes, improving accuracy and efficiency while reducing costs by over 70%.

The fresh funding will fuel Augmentus’ expansion in the United States, Europe, and greater Asia, meeting the growing demand across various verticals such as welding, surface treatment, and finishing processes. The platform caters to both SMEs and large enterprises, supporting complex tasks through AI and machine learning in robotics programming.

Augmentus has witnessed a fourfold increase in its deployment efforts over the past year, reaching seven countries and supplying its solutions to over thirty manufacturers globally. Fortune 500 companies, including Hyundai, Applied Materials, ST Engineering, and Abrasive Engineering, have benefited from Augmentus’ innovative solutions. The platform is compatible with major robot OEMs, including ABB, Kawasaki, Universal Robots, Kuka, and Nachi.

As part of its expansion strategy, Augmentus will leverage the Augmentus System Partner (ASP) program to enhance the onboarding of global system integrators and channel partners, focusing on the manufacturing sector and complex manufacturing applications.

Leong Yong Shin, Co-Founder and CEO of Augmentus, expressed enthusiasm for the collaboration with Sierra Ventures, stating, “This funding highlights the transformative potential of merging artificial intelligence and computer vision in robotics to drive truly autonomous and flexible manufacturing. We envision a future where robots can adapt to any part and process with no downtime and expertise required.”

A portion of the investment will be allocated to intensify research initiatives, emphasizing a software-first approach to make complex manufacturing simpler to automate.

Ben Yu, Managing Partner at Sierra Ventures, noted the pressing need for a more efficient and scalable programming solution in the growing field of industrial robotics. “Augmentus’ integration of precise 3D scanning, no-code micro-adjustability, and automated code generation is the solution to this challenge,” he said.

Will Klippgen, Managing Partner at Cocoon Capital, said, “Ever since we met the founders, we have been impressed by how fast they reached product-market fit and engaged with some of the largest players around the world only a few months after launch. We are proud to back a team that is so committed to bringing down the cost of production by making robotics available to businesses regardless of size and industry.”

Dell Technologies Helps Professionals Stay Productive Anywhere with World’s Most Intelligent and Secure Business PCs Previous post Dell Teams Up with Meta to Streamline On-Premises Deployment of Llama 2 Models through Generative AI Collaboration
Researchers Warn of Fast-growing Mobile Threat While Emotet’s Impact Declines Next post Meltwater Study Reveals Surge in Social Media Conversations on Personal Finance in Singapore

talk to us!

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Discover more from techcoffeehouse.com

Subscribe now to keep reading and get access to the full archive.

Continue Reading

%d