Bright Machines 2025 Company Profile Valuation Funding Pitchbook

Bonisiwe Shabane
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bright machines 2025 company profile valuation funding pitchbook

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 Currently, electronics manufacturing is outdated and manual with isolated, inefficient processes that drive up costs.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 has raised $608.45M over 12 rounds. Bright Machines's latest funding round was a Series C for $106M on June 25, 2024. Bright Machines's valuation in October 2022 was $938M. Bright Machines's 2023 revenue was $164M. Bright Machines's most recent revenue is from 2021. Sign up for a free demo to see revenue data from 2023, 2021 and more.

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."

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