Bright Machines Scores 126 Million Series C Silicon Valley Daily

SAN FRANCISCO — Bright Machines, an innovator in intelligent, software-defined manufacturing and robotics, has raised $126 million in Series C funding, with $106 million in equity led by investment from funds and accounts managed... Morgan. This brings the company’s total amount raised to more than $400 million. The capital will be used to launch product innovations, expand its software stack for increased assembly flexibility, and grow strategic relationships with ecosystem partners. Currently, electronics manufacturing is outdated and manual with isolated, inefficient processes that drive up costs. With the proliferation of AI driving up demand for compute power and subsequently, AI hardware, the industry faces a bottleneck across dozens of fragmented vendors that causes a supply chain traffic jam.

Bright Machines was founded in 2018 by industry veterans who saw a unique opportunity to solve this problem and bring an unprecedented, data-focused approach to electronics manufacturing. Bright Machines’ full stack solution provides centralized data visibility, traceability, performance benchmarking, and flexible automation. In Bright Machines’ digital ecosystem, valuable data is constantly generated and communicated to a central hub, thus creating a powerful engine for continual optimization. Leveraging this robust data network, Bright Machines’ Design for Automated Assembly (DFAA) tool provides virtual design recommendations to shorten products’ time to market. The company’s robotics utilize machine learning algorithms to help ensure quality control and traceability during assembly inspection. And once products reach their end of life, Bright Machines’ flexible disassembly capabilities help harvest and recycle components – achieving full circular manufacturing.

By uniting this data network with agile robotics, modeling and simulation, Bright Machines provides a robust, modern factory that far exceeds what traditional factories can achieve. “Adopting ecosystem-wide, software-defined manufacturing processes will ease the mounting burden from the industry’s biggest challenges, including a lack of skilled workforce; aging, rigid systems; disparate and fragmented supply chains; and an overall lack of... “By collaborating with technology leaders such as NVIDIA and Microsoft, Bright Machines can deliver flexible, integrated, and intelligent manufacturing solutions to our customers, starting with Design for Automated Assembly (DFAA) and continuing – with... As optimized manufacturing systems are faster, more resilient, and more efficient than their manual counterparts, our customers are more competitive in terms of cost, their products’ time-to-market, and customer delight. And in a world where we can now use AI and software to teach robotics systems how to build electronics, the opportunity to redefine how we will design and build electronics is unlimited.” “Physical AI is powering the next wave of digitalization applications.

Bright Machines, powered by NVIDIA Omniverse core technologies, will help accelerate a new era of AI-enabled industrial digital twins — from design to operation and optimization,” said Rev Lebaredian, VP of Omniverse and Simulation... Led by investment from funds and accounts managed by BlackRock with participation from NVIDIA, Microsoft, Eclipse, Jabil, and Shinhan Securities and venture debt from J.P. Morgan, the new round will help Bright Machines meet skyrocketing demand as pressure builds to support AI hardware production SAN FRANCISCO — June 25, 2024 — Bright Machines, an innovator in intelligent, software-defined manufacturing, announced today it has raised $126M in Series C funding, with $106M in equity led by investment from funds... Morgan. This brings the company’s total amount raised to more than $400M.

The capital will be used to launch product innovations, expand its software stack for increased assembly flexibility, and grow strategic relationships with ecosystem partners. Currently, electronics manufacturing is outdated and manual with isolated, inefficient processes that drive up costs. With the proliferation of AI driving up demand for compute power and subsequently, AI hardware, the industry faces a bottleneck across dozens of fragmented vendors that causes a supply chain traffic jam. Bright Machines was founded in 2018 by industry veterans who saw a unique opportunity to solve this problem and bring an unprecedented, data-focused approach to electronics manufacturing. Bright Machines’ full stack solution provides centralized data visibility, traceability, performance benchmarking, and flexible automation. In Bright Machines’ digital ecosystem, valuable data is constantly generated and communicated to a central hub, thus creating a powerful engine for continual optimization.

Leveraging this robust data network, Bright Machines’ Design for Automated Assembly (DFAA) tool provides virtual design recommendations to shorten products’ time to market. The company’s robotics utilize machine learning algorithms to help ensure quality control and traceability during assembly inspection. And once products reach their end of life, Bright Machines’ flexible disassembly capabilities help harvest and recycle components – achieving full circular manufacturing. By uniting this data network with agile robotics, modeling and simulation, Bright Machines provides a robust, modern factory that far exceeds what traditional factories can achieve. “Adopting ecosystem-wide, software-defined manufacturing processes will ease the mounting burden from the industry’s biggest challenges, including a lack of skilled workforce; aging, rigid systems; disparate and fragmented supply chains; and an overall lack of... “By collaborating with technology leaders such as NVIDIA and Microsoft, Bright Machines can deliver flexible, integrated, and intelligent manufacturing solutions to our customers, starting with Design for Automated Assembly (DFAA) and continuing – with...

As optimized manufacturing systems are faster, more resilient, and more efficient than their manual counterparts, our customers are more competitive in terms of cost, their products’ time-to-market, and customer delight. And in a world where we can now use AI and software to teach robotics systems how to build electronics, the opportunity to redefine how we will design and build electronics is unlimited.” Bright Machines Inc., a robotics startup that helps manufacturers more efficiently make products such as servers and batteries, has secured $126 million in fresh funding. The Series C round was announced this morning. Bright Machines received the bulk of the capital, $106 million, in the form of an equity investment that was led by BlackRock with participation from Nvidia Corp., Microsoft Corp., electronics maker Jabil Inc. and other institutional backers.

JPMorgan Chase & Co. contributed an additional $20 million in venture debt. Bright Machines sells automated manufacturing systems dubbed Microfactories. Each such system includes robotic arms, various auxiliary hardware components and software for managing that equipment. The software uses artificial intelligence to automate manual tasks such as measuring the frequency at which manufacturing faults occur. “Optimized manufacturing systems are faster, more resilient and more efficient than their manual counterparts,” said Bright Machines Chief Executive Officer Lior Susan.

Manufacturers can adapt robotic arms to different projects by changing the so-called end-of-arm tools with which they’re equipped. There are many such tools that lend themselves to tasks ranging from welding to picking up parcels. According to Bright Machines, its Microfactories include end-of-arm tools along with conveyor belts for transporting materials and parts to robots. Bright Machines, a pioneer in intelligent, software-defined manufacturing, has announced a significant milestone with the closing of a $126 million Series C funding round. The financing, led by funds managed by BlackRock and with contributions from industry giants including NVIDIA, Microsoft, Eclipse, Jabil, and Shinhan Securities, along with venture debt from J.P. Morgan, underscores the company’s pivotal role in revolutionizing electronics manufacturing.

Founded in 2018 by seasoned industry experts, Bright Machines addresses the inefficiencies plaguing traditional manufacturing processes with its advanced digital ecosystem. This latest funding round brings Bright Machines’ total capital raised to over $400 million and is earmarked to bolster product innovation, enhance its software stack for greater assembly flexibility, and fortify strategic partnerships across... Electronics manufacturing, traditionally hindered by manual processes and fragmented supply chains, faces a critical juncture amid escalating demand for AI hardware. Bright Machines’ transformative approach integrates centralized data visibility, performance benchmarking, and adaptable automation to streamline operations from design through to assembly and recycling. “By collaborating with technology leaders such as NVIDIA and Microsoft, Bright Machines can deliver flexible, integrated, and intelligent manufacturing solutions to our customers,” stated Lior Susan, CEO and Executive Chairman at Bright Machines. “Our innovations not only enhance operational efficiency but also accelerate time-to-market for cutting-edge AI hardware, ensuring our customers remain competitive in a rapidly evolving market.”

Investors underscore the strategic importance of Bright Machines’ technology in shaping the future of manufacturing. Matt Singer, Managing Director at BlackRock, emphasized, “The team is uniquely positioned to accelerate automation within the manufacturing industry and solve a necessary challenge to meet the pace of innovation.” Led by investment from funds and accounts managed by BlackRock with participation from NVIDIA, Microsoft, Eclipse, Jabil, and Shinhan Securities and venture debt from J.P. Morgan, the new round will help Bright Machines meet skyrocketing demand as pressure builds to support AI hardware production SAN FRANCISCO, June 25, 2024 /PRNewswire/ -- Bright Machines, an innovator in intelligent, software-defined manufacturing, announced today it has raised $126M in Series C funding, with $106M in equity led by investment from funds... Morgan.

This brings the company's total amount raised to more than $400M. The capital will be used to launch product innovations, expand its software stack for increased assembly flexibility, and grow strategic relationships with ecosystem partners. Currently, electronics manufacturing is outdated and manual with isolated, inefficient processes that drive up costs. With the proliferation of AI driving up demand for compute power and subsequently, AI hardware, the industry faces a bottleneck across dozens of fragmented vendors that causes a supply chain traffic jam. Bright Machines was founded in 2018 by industry veterans who saw a unique opportunity to solve this problem and bring an unprecedented, data-focused approach to electronics manufacturing. Bright Machines' full stack solution provides centralized data visibility, traceability, performance benchmarking, and flexible automation.

In Bright Machines' digital ecosystem, valuable data is constantly generated and communicated to a central hub, thus creating a powerful engine for continual optimization. Leveraging this robust data network, Bright Machines' Design for Automated Assembly (DFAA) tool provides virtual design recommendations to shorten products' time to market. The company's robotics utilize machine learning algorithms to help ensure quality control and traceability during assembly inspection. And once products reach their end of life, Bright Machines' flexible disassembly capabilities help harvest and recycle components – achieving full circular manufacturing. By uniting this data network with agile robotics, modeling and simulation, Bright Machines provides a robust, modern factory that far exceeds what traditional factories can achieve. "Adopting ecosystem-wide, software-defined manufacturing processes will ease the mounting burden from the industry's biggest challenges, including a lack of skilled workforce; aging, rigid systems; disparate and fragmented supply chains; and an overall lack of...

"By collaborating with technology leaders such as NVIDIA and Microsoft, Bright Machines can deliver flexible, integrated, and intelligent manufacturing solutions to our customers, starting with Design for Automated Assembly (DFAA) and continuing – with... As optimized manufacturing systems are faster, more resilient, and more efficient than their manual counterparts, our customers are more competitive in terms of cost, their products' time-to-market, and customer delight. And in a world where we can now use AI and software to teach robotics systems how to build electronics, the opportunity to redefine how we will design and build electronics is unlimited." In 2013, my role at Flextronics involved spending a copious amount of time on the factory floor. I was stunned by how many electronic products were built manually. Here we were building some of the most advanced products in the world — from iPhones to GPUs — all by hand.

As products evolved with advanced technology, employees had to adapt quickly in order to build new, complex designs. This laborious and taxing work equated to fewer people being up for the challenge, resulting in a struggle to fill these factory roles. The result? A perfect storm for an industry in desperate need for digital transformation. Then came a bold thought. What if we could automate our factories to produce physical goods, with limited human oversight?

And so, in 2018 Bright Machines was born. Today, Bright Machines announced our $126M Series C with $106M in equity led by investment from funds and accounts managed by BlackRock and participation from NVIDIA, Microsoft, Eclipse, Jabil and Shinhan Securities, and with... Morgan. This brings the company’s total amount raised to more than $400M. This investment, along with our network of partners, investors, and employees, will enable Bright Machines to further execute on our mission to revolutionize software-defined electronics manufacturing by bringing intelligence to the factory in order... Six years since the company’s inception, it is even more urgent to solve the issue of manufacturing automation.

Electronics manufacturing is still outdated and manual, with isolated, inefficient processes that drive up costs. In fact, manufacturing waste is $8T annually, including rework, downtime, mistakes, and experiments. The industry continues to face challenges – everything from skilled labor shortages to outdated infrastructure, fragmented supply chains, and inconsistent standards across the entire value chain. The rise of geopolitical tensions and security concerns only add fuel to the fire, as the U.S. cannot outsource manufacturing as effectively as it could 50 years ago. At the same time, with manufacturing and its supply chain still centralized overseas, the building and scaling process has dramatically slowed down for U.S.-based manufacturers.

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