Bright Machines Scoops Up 126m Series C Vcnewsdaily Com

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Currently, electronics manufacturing is outdated and manual with isolated, inefficient processes that drive up costs.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.” 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." We could not find any results for: Make sure your spelling is correct or try broadening your search. It looks like you aren't logged in.Click the button below to log in and view your recent history. Connect with traders and investors in our Follow Feed community. Explore comprehensive options data and use advanced filters with Options Flow.

Organize and monitor your stock and asset watchlist with Monitor. Bright Machines Raises $126M Series C Funding to Propel Manufacturing Into Software-Defined Era 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 pressur 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 and accounts... 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." This... Today's investment news comes on the heels of Bright Machines' integration and go-to-market partnership with Microsoft Azure, which will enable an accessible, efficient, and data-driven manufacturing process for electronics manufacturers. Supporting investor quotes: "The demand for AI is catalyzing a transformation in electronics manufacturing. Supply chains and manufacturing and assembly processes are being redesigned to drive faster product innovation and time to market.

With blue-chip industry leaders solving on Bright Machine's software-defined solutions, the team is uniquely positioned to accelerate automation within the manufacturing industry and solve a very difficult, but necessary challenge to meet the pace... Bright Machines' full-stack solution changes the status quo by providing flexible automation across all stages of the manufacturing life cycle from product design to assembly to disassembly. The team at Bright Machines sees the power of combining robotics and AI in the physical world and is uniquely positioned to transform the manufacturing lifecycle through automation." - Marc Stoll, Partner, Eclipse "It... Bright Machines significantly reduces the time it takes to go from design to production helping companies manufacture the products of tomorrow today." - Matt Crowley, EVP Global Business Units, Jabil "Physical AI is powering... 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." - Rev Lebaredian, VP of Omniverse and Simulation... Bright Machines delivers reliable access to more AI hardware and transforms its manufacturing, ensuring the ecosystem can take advantage of all that AI has to offer." - Damian Kang, Executive Director Global Equity Team,...

About Bright Machines Bright Machines is an industry-leading software and robotics company that offers a full-stack automation solution for manufacturing. Bright Machines' flexible automated assembly specializes in building the AI backbone — AI hardware infrastructure. By leveraging computer vision, machine learning, and software applications, Bright Machines transforms the way products can be designed and manufactured. With more than 200 employees worldwide, Bright Machines is headquartered in San Francisco, California. Bright Machines has been previously named "Best AI-based Solution for Manufacturing" by AI Breakthrough, "Technology Pioneer" by the World Economic Forum, and one of "America's Most Promising Artificial Intelligence Companies" by Forbes. For more information, visit www.brightmachines.com.

2025 New Edition Available! (Updated July 2025) Price: $119.5 (including a free update in January 2026) 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." This... Today's investment news comes on the heels of Bright Machines' integration and go-to-market partnership with Microsoft Azure, which will enable an accessible, efficient, and data-driven manufacturing process for electronics manufacturers. "The demand for AI is catalyzing a transformation in electronics manufacturing. Supply chains and manufacturing and assembly processes are being redesigned to drive faster product innovation and time to market. With blue-chip industry leaders solving on Bright Machine's software-defined solutions, the team is uniquely positioned to accelerate automation within the manufacturing industry and solve a very difficult, but necessary challenge to meet the pace...

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