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Teradyne invests in Bright Machines to speed AI hardware manufacturing

What's the deal? TeradyneDealroom has a profile for this one. Try Dealroom → has made a strategic investment in Bright Machines, a San Francisco manufacturer that builds AI and data center infrastructure. The late-stage round, announced October 5, 2026, comes alongside a collaboration to combine Teradyne's robotics and test technologies with Bright Machines' software-defined manufacturing platform.

What does Bright Machines do? It runs a software-defined platform spanning design, robotics, automation, inspection, material movement, and production intelligence. The company has deployed more than 130 microfactories across over 10 countries and now runs active AI infrastructure production in the US.

What's the endgame? The two plan to run the Bright Machines platform, Universal RobotsDealroom has a profile for this one. Try Dealroom → collaborative robots, and Teradyne board test systems together on a single production floor. Connecting assembly, robotics, and electrical test data would give customers an end-to-end record linking design, build, and performance.

Why now? AI infrastructure is fuelling one of the largest electronics manufacturing buildouts in recent history. As hyperscalers and chipmakers invest in new compute, manufacturing speed and quality increasingly determine deployment.

"Physical AI is changing what is possible on the factory floor," said Shantnu Sharma, chief development officer at Teradyne. The partnership, he said, gives companies building AI infrastructure "a faster path from design into production, with data behind every unit they build."

Bright Machines chief executive officer Sviat Dulianinov said the investment helps validate its approach. "Their robotics and test technologies are complementary to our platform," he said.

The signal: The deal ties a listed test-equipment maker to a software-first manufacturer, a bet that the AI boom will reward factories that can be reconfigured in code as product designs refresh. It points to hardware production itself — not just chips — becoming a competitive front in the AI race.

Read more: Business Insider

Image credit: Generated with Gemini

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