Teradyne invests in Bright Machines to bring robotics to AI infrastructure manufacturing

Bright Factory is an intelligent manufacturing platform connecting design, automation, and data. | Source: Bright Machines

Teradyne Inc. today announced a strategic investment in Bright Machines Inc., a builder of AI and data center infrastructure. The companies are also launching a strategic collaboration focused on integrating Teradyne robotics and test technologies with Bright Machines’ manufacturing platform.

“Teradyne chose to invest in Bright Machines because of what AI data center buildouts are asking of manufacturing,” Shantnu Sharma, the chief development officer at Teradyne, told The Robot Report . “Designs change quickly and every unit has to be verified. What drew us in is the loop Bright Machines’ solutions close — a design goes into a manufacturing cell, robots assemble it, test verifies it, and the data coming back tells you how to optimize the next one. Solutions like this, where a collaboration can measurably accelerate not only a founder’s path, but also time to market for our customers, are core to our investment strategy.”

The move comes as Teradyne has been increasingly investing in AI across its ecosystem. In its most recent earnings statement , the North Reading, Mass.-based company marked its fifth consecutive quarter of growth.

Teradyne credited AI as a main driver of its revenue growth. In addition, Universal Robots , a Teradyne subsidiary, recently released its seventh-generation cobot arm , which is designed to take advantage of AI advances.

“The investment will support Bright Machines’ continued growth and the expansion of its AI infrastructure manufacturing platform, including the engineering and deployment work behind the collaboration, integrating Teradyne’s robotics and test technologies with our platform, and bringing that combined architecture to customer sites,” Fiaz Mohamed, chief growth officer at Bright Machines, told The Robot Report .

Teradyne and Bright Machines jointly automate production

The partners said they plan to integrate Teradyne’s technologies into Bright Machines’ production environments. This will include precision robotic assembly , robotic loading and unloading of test equipment, and autonomous movement of materials.

“Teradyne brings industry-leading capabilities in test and robotics that complement Bright Machines’ software and automation platform,” Mohamed said. “Integrating those systems with our platform will connect robotics and test data with assembly, inspection and product-genealogy data, giving customers confidence in a pre-tested manufacturing platform that can improve with every system built at the scale they need.”

The companies hope to deploy the technology at Bright Machines’ and customer sites. At these sites, the Bright Machines manufacturing platform , Universal Robots’ force- and power-limited robots , and Teradyne’s board test systems would operate together on a production floor. Each produces a distinct stream of information: assembly and inspection data, robot and material-movement data, and electrical test results.

Teradyne said connecting these data streams with Bright Machines’ product genealogy and manufacturing capabilities will create an end-to-end system. This system links design decisions, assembly execution, and electrical performance.

“We’ve already begun adding Universal Robots to our lines, and the teams have begun identifying and developing areas for technical integration across test, robotics and automation,” Mohamed said. “We expect this to be a phased effort tied to specific manufacturing applications and customer requirements, and we aren’t announcing a timeline for a fully integrated system today.”

“What limits automation today is not what a robot can physically do but how much engineering it takes to tell it what to do,” said James Davidson, chief AI officer at Teradyne. “When a robot can pick up a new task in hours instead of being re-engineered over weeks, high-mix, short lifecycle production becomes the default. Once build data and test data sit in the same loop, the line can correct itself quickly.”

Teradyne noted that AI infrastructure is demanding. Product complexity is high, design cycles are short, quality requirements are stringent, and schedules leave little room for rework.

Manufacturers serving this market increasingly value an integrated approach spanning manufacturing design, intelligent robotics, autonomous material handling, quality assurance, and end-to-end production intelligence, delivered as one coordinated system.

“The next generation of AI infrastructure calls for a manufacturing approach that is more automated, software-defined, data-driven, and responsive to change,” said Sviat Dulianinov, CEO of Bright Machines. “Teradyne’s expertise, and the investment that comes with it, helps us validate that approach. Their robotics and test technologies are complementary to our platform, and together we can help customers simplify integration, accelerate deployment, and maintain a complete production data thread.”

Partners share AI infrastructure experience

AI infrastructure is driving one of the largest electronics manufacturing buildouts in recent history, noted Teradyne. As hyperscalers, AI laboratories, silicon providers, and OEMs invest in next-generation compute, manufacturing has become a determinant of deployment speed, quality, and economic value, it added. Manufacturers place a premium on lines that can be reconfigured in software as product designs refresh.

Teradyne claimed that it is working with manufacturers across that ecosystem, including electronics manufacturing services (EMS) and original design manufacturer (ODM) providers, OEMs, and hyperscalers. It said it supplies robotics and test technologies to make high-mix, high-value electronics production possible.

Burlingame, Calif.-based Bright Machines brings a software-defined manufacturing platform spanning design, robotics, automation, inspection, material movement, production intelligence,…

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