University of Kwazulu-Natal

Bright Machines 2025 Company Profile Team Tracxn

Bonisiwe Shabane
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bright machines 2025 company profile team tracxn

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. With the holidays around the corner, it feels like the right time to look back on an exciting and important year for our team.

This year, our momentum showed up in many ways. As we continued advancing our technology for building AI infrastructure in the US, we expanded our team and welcomed over 50 new team members, while also building new partnerships and strengthening relationships across our... There’s much more to share, and we’re excited to do so in the year ahead! From all of us at Bright Machines, we wish you a joyful holiday season and all the best in 2026! Take a look at our US and Mexico teams celebrating the end of the year ✨ The Alliance for OpenUSD (AOUSD) announced the OpenUSD Core Specification 1.0, marking a major step toward a shared foundation for how industries will create, exchange, and collaborate on 3D content.

The new production-ready standard addresses long-standing fragmentation in 3D data and enables the kind of scalable, high-performance workflows that modern animation, digital twins, and simulation rely on. As a member of AOUSD, we’re excited to see this come to life and even more proud of the people behind it! Read more in the press release 👇 📣 OpenUSD Core Specification 1.0 is here. This release defines the universal language for 3D creation, driving interoperability across simulation, digital twins, and world-building. Built in collaboration with Adobe, Apple, Amazon, Autodesk, Bright Machines, Chaos, DigitalFish, Esri, Foundry, Intel Corporation, Lucasfilm, Meta, NVIDIA, OTOY, Pixar Animation Studios, PTC, SideFX Software, Sony, and Trimble Inc., Core Spec 1.0 delivers:...

Honored to attend the #IndustrialAI Forum on Dec 5–6 at Sunnyvale and speak on behalf of Bright Machines. It was inspiring to hear industrial leaders share how GenAI, digital twins, and robotics are reshaping industries and the future of manufacturing. Many thanks to Professor Jay Lee for the invitation, Brandon Wang and Synopsys Inc for hosting such a great event, and Monte Jade West for the wonderful networking dinner at Stanford. Grateful for the engaging conversations and diverse perspectives from across the industry. Today we hosted a great Lunch & Learn with our Mechatronics Engineering Intern, James Huang, who shared his journey and what he’s learned since joining our SF team. James worked on enhancing our robotics testing platform, running vision experiments for our proprietary Smart Skills, and exploring new hardware options.

We’re always happy to have interns on our team as they bring curiosity, initiative, and a fresh perspective to our projects! If you want to be part of an innovative team, check out our open roles here: https://lnkd.in/dEhpdRH 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 was founded with the goal to transform manufacturing. With lead investor Eclipse Capital, we closed our Series A round to build our vision of deploying software-driven robotics. We deployed our first automated assembly line with modular BRCs (Bright Robotic Cells) to the factory floor.

We developed and integrated our Brightware Platform operating system to power the flexible automation behind our Microfactories. With lead investor Eclipse Capital, we secured our Series B round to scale the growth of our customer base across key industries. Bright has not raised any funding rounds yet. Industrial Automation Equipment - Sector Report

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