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Diode Computers is designing circuit boards with AI. It just raised $11.4 million, led by Andreessen Horowitz.
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Diode Computers是一家利用人工智能技术革新印刷电路板(PCB)设计流程的初创公司。传统PCB设计耗时耗力,且依赖经验丰富的专业人才。Diode通过将PCB设计转化为代码,利用AI模型自动生成和优化设计,大幅缩短了设计周期,并提高了设计的灵活性和准确性。该公司已成功获得由A16z领投的1140万美元A轮融资,旨在服务于对美国本土制造高度关注的机器人、医疗设备和航空航天等领域。Diode的愿景是成为一个“一站式商店”,提供从设计到制造的全流程服务,以代码驱动物理产品的生产。

💡 Diode Computers利用人工智能将印刷电路板(PCB)设计过程从图形化转向代码化,大幅提升了设计效率和准确性。传统上需要数周甚至数月才能完成的设计,现在可以在几天内完成,这有助于解决行业内资深设计师短缺的问题。

💰 该公司近期获得了由Andreessen Horowitz(a16z)领投的1140万美元A轮融资,总融资金额超过1400万美元。这笔资金将用于推动其AI驱动的PCB设计和制造服务,并拓展在机器人、医疗设备和航空航天等关键行业的应用。

🚀 Diode专注于服务对美国本土制造有强烈需求的行业,如机器人、医疗设备和航空航天。这些行业在快速迭代硬件和电子系统方面有着迫切需求,尤其是在国防和快速部署的应用场景下,AI在加速这一进程中扮演着关键角色。

⚙️ Diode的AI软件能够将PCB布局转化为代码,这使得发现设计错误、快速调整设计以适应特定产品需求以及规模化生产变得更加容易。公司使用了OpenAI和Anthropic的大语言模型,并结合强化学习来训练模型以识别设计缺陷。

Diode Computers cofounders Lenny Khazan (left) and Davide Asnaghi (right).

Green, copper skeletons — sometimes no thicker than a piece of printer paper — are the literal core of today's electronics. The printed circuit boards, or PCBs, that power most devices on our planet, from smartphones to drones, can be slow and costly to produce, according to a startup hoping to automate the design and manufacturing process.

Diode Computers, a startup that uses artificial intelligence to create custom PCB designs in code rather than mapping out designs in pictures, claims it can slash the time and manpower required to create boards for specific products — a timeframe the startup says used to take weeks to months, but may now happen in a matter of days.

"The people that have the ability to generate circuit boards are retiring, and so now you have a very small set of people that can generate correct designs from experience — and a ton of people that would love to learn, but there's not enough manpower to actually teach them," Diode cofounder and CEO Davide Asnaghi told Business Insider.

The startup raised $11.4 million in a Series A funding round led by Andreessen Horowitz, known as a16z, with participation from Caffeinated Capital, Box Group, and startup mentorship program Y Combinator. The round brings Diode's total funding to just over $14 million.

Diode's cofounders, Davide Asnaghi and Lenny Khazan, were in the summer 2024 Y Combinator cohort. There, they came up with the idea to help companies generate circuit board designs from scratch using AI.

Instead of designing PCBs using pictures or diagrams, Diode translates PCB layouts into code using open-sourced AI software the company created. The startup says the software makes it easier to spot mistakes on the circuit boards, quickly reconfigure them for specific products, and scale production. Diode uses OpenAI and Anthropic large language models, but it's also using reinforcement learning to train smaller models to spot circuit board design mistakes, Asnaghi said.

Diode charges its customers for custom designing and manufacturing circuit boards. The startup outsources production to partners in California and on the East Coast, but Asnaghi's long-term goal is to become a "one-stop shop" that will design, manufacture, and deliver PCBs to clients:

"Our eventual vision is that our customers should be able to push code to us in the same way that you deploy on AWS, and we will take that code and generate a physical product that gets shipped back to their assembler or their factory," he said.

The startup is focused on working with robotics, medical device, and aerospace companies because "these three industries are very interested in manufacturing in the US," Asnaghi said. AI robotics startup Physical Intelligence and autonomous maritime startup Saronic are both Diode customers, the company said.

Diode hopes to tap into Silicon Valley's renewed focus on scaling American manufacturing, particularly for aerospace and defense. Venture capitalists and founders building hard tech discussed this trend at the Reindustrialize Summit, a conference hosted in Detroit in July.

"In terms of conflict and warfare, you need to be able to iterate on your hardware and electronic systems as quickly as you're iterating on your design," Erin Price-Wright, a partner with A16z's American Dynamism practice — which invests in aerospace, defense tech, public safety, and other national security startups — told BI.

"Instead of designing one PCB board that's going to be in an airplane for the 50-year lifetime of an airplane, you're thinking about having to redesign a new electronic stack every couple of months of a drone being deployed onto a battlefield."

The PCB design market is pretty crowded. Cadence Design Systems and Altium both make PCB design software. And Quilter, another startup that makes AI-powered PCB design software, raised a $10 million Series A led by venture firm Benchmark in February 2024.

Before launching Diode, Asnaghi designed custom silicon chips at Chromatic, a stealth hard-tech startup. There, he experienced what he now sees as a recurring holdup in electrical engineering: PCB design errors that stalled production.

"It was insane to me that you had this wonderful complex device, which is the custom silicon, and then the simpler node created unforeseen delays for no reason," he said.

Asnaghi also previously worked as an embedded software engineer at Apple and Butterfly Network, a medical imaging company. He earned his master's in engineering at Berkeley and studied engineering in college in Italy and at the Hong Kong University of Science and Technology, where he was an exchange student. His interest in electrical engineering, he told BI, stems from meeting the founder of the open source electronics platform Arduino.

"Electronics is the most magical of the engineering disciplines," he said. "You can take software, which is somewhat ethereal, and make it do things in the real world."

Asnaghi met Diode cofounder and chief technology officer Lenny Khazan at Butterfly Network, where Khazan was an intern. He previously worked as a software engineer at Chromatic and Instabase, an AI data company.

"We are seeing a rise in the importance of physical products," Asnaghi said. "There's more need for infrastructure — data centers, power generation, all of these things rely on prepared circuit boards on some level. Virtually any product that has some electronics in it will have a circuit board."

Read the original article on Business Insider

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Diode Computers PCB设计 人工智能 AI驱动 硬件制造
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