University of Kwazulu-Natal

Bright Machines Secures 126 Million In Series C Funding To Drive

Bonisiwe Shabane
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bright machines secures 126 million in series c funding to drive

Bright Machines, an innovator in intelligent, software-defined manufacturing, has raised $126M in Series C funding, with $106M in equity led by investment from funds and accounts managed by BlackRock and participation from NVIDIA, Microsoft,... 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. Read also – [Funding News] Norm Ai Raises $27 Mn Series A Funding to Expand AI-Driven Regulatory Compliance Platform Currently, electronics manufacturing is outdated and manual with isolated, inefficient processes that drive up costs.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. Read also – [Funding News] Elsewhere Partners Secures Oversubscribed $285 Mn Fund III 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. Bright Machines has raised a total funding of $279M over 6 rounds. Its first funding round was on Oct 23, 2018. Its latest funding round was a Venture Debt round on Jun 25, 2024 for $20M.

1 investor participated in its latest round, which include Hercules Capital, BlackRock, J P Morgan and EDBI. Bright Machines has 16 institutional investors including Eclipse, Microsoft and Nvidia. 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, an innovator in intelligent, software-defined manufacturing, today announced an early preview of Bright Designer, a new web-based... Bright Machines, the leader in software-defined manufacturing, today announced that Chris Stori has been appointed Chief Executive Officer of the... Bright Machines, an innovator in intelligent, software-defined manufacturing, announced today it has raised $126M in Series C funding, with $106M in...

Bright Machines, an innovator in intelligent, software-defined manufacturing, announced an integration and go-to-market collaboration with Microsoft... Join PR Newswire for Journalists to access all of the free services designated to make your job easier. BlackRock is a New York-based investment management firm that provides services such as investment, advisory and risk management for government and non-profit organizations. Max A. Cherney / Reuters: Bright Machines, which automates manufacturing with AI and robotics, raised a $126M Series C from Nvidia, Microsoft, and others, including $20M in debt — Software and robotics startup Bright Machines raised... Bright Machines, a software-defined manufacturing, announced it has raised $126 millionin Series C funding, with $106 million in equity led by investment from funds and accounts managed by BlackRock and participation from NVIDIA, Microsoft,...

Morgan. This brings the company’s total amount raised to more than $400 million. The funding will be used to launch product innovations, expand its software stack for increased assembly flexibility, and grow more strategic relationships with ecosystem partners. Electronics manufacturing is currently outdated and manual, with inefficient processes driving up costs. With AI driving up demand for computing power and AI hardware, the industry faces challenges across dozens of fragmented vendors that cause a supply chain traffic jam. Bright Machines was launched in 2018 by industry veterans who saw an opportunity to solve this problem and bring an unprecedented, data-focused approach to electronics manufacturing.

Bright Machines’ solution offers centralized data visibility, traceability, performance benchmarking, and flexible automation. And in Bright Machines’ digital ecosystem, valuable data is constantly generated and communicated to a central hub, creating a powerful engine for continual optimization. Utilizing this data network, Bright Machines’ Design for Automated Assembly (DFAA) tool provides virtual design recommendations to shorten products’ time to market. And the company’s robotics utilize machine learning algorithms to help ensure quality control and traceability during assembly inspection. After 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 and modern factory that far exceeds what traditional factories can achieve.

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