U.S. manufacturing veterans launch 'microfactories' to assemble electronics

SAN FRANCISCO (Reuters) – Bright Machines, a startup founded by a group of software and manufacturing executives, on Wednesday released its latest “microfactories” designed to automate the assembly of electronics.

Bright Machines Chief Executive Amar Hanspal (L), and Senior Vice President of Software Engineering Nick Ciubotariu stand beside an early version of one of the company’s “microfactory” cells at the company’s headquarters in San Francisco, California, U.S., June 24, 2019. REUTERS/Stephen Nellis

While automation has taken hold in factories for cars and other products, the company’s chief executive, Amar Hanspal, said machines have eluded electronics assemblers because they can take months to program and electronics designs change too quickly.

The microfactories consist of pods about the size of a large refrigerator and contain sensors, robotics and software. The machines learn how to handle tasks now handled by humans such as inserting delicate memory or processors chips onto circuit boards.

Founded by Autodesk Inc and Flex Ltd veterans, the San Francisco-based startup raised $179 million last year and now has 400 employees.

Hanspal, formerly co-CEO of Autodesk, told Reuters the company has been working with about 20 different brands in more than two dozen locations in Mexico, China, India, Hungary, Romania and the United States.

Hanspal would not name the firm’s customers but they are using its machines to make devices as diverse as networking gear for data centers to coffee makers. He said Bright Machines has signed contracts for about $100 million in sales over the next 18 months.

“They’re trying to double the capacity of what they can build with the same number of people,” Hanspal said. “The biggest issue for them has been the part of the factory that’s least automated.”

Bright Machines uses software to address the challenges of electronics, leaning on a software office it opened last year in Seattle. Instead of programming a robotic arm to maneuver its screwdriver to a predetermined set of coordinates above a circuit board, Bright Machine feeds its systems pictures of what the finished circuit board should look like.

Using computer vision, the system “learns” where a given part is supposed to go, and a combination of sensors and machine learning guide the robotic arm to the part.

In the past, factories did not trust machines to place pricey chips because robotic arms could break them if a circuit board was slightly misaligned when fed into the machine, Hanspal said. One Bright Machines customer uses machines to place dozens of processors that cost $1,000 each.

“To scrap a component like that is, to our customers, a big deal,” said Nick Ciubotariu, the company’s senior vice president of software engineering, who joined the company from Amazon.com Inc, where he was a senior engineering manager at its Alexa unit. “Having a computer vision system that intelligently recognizes where things are supposed to go, even if there’s a little bit of variance in where that component is, is a very a big deal.”

Reporting by Stephen Nellis in San Francisco; editing by Leslie Adler and Cynthia Osterman

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source: reuters.com