Circuit Mind 获得 25M 并让 AI agents 工作检查电路板图
英国电路板设计启动 Circuit Mind Ltd. 今天，宣布它有2500万美元的融资新资金将其人工智能平台扩展到更多的硬件设计过程。
一种验证工具，可以使AI agents同时为图案发布中的出错而工作。
Circuit Mind提供软件，将印刷电路板设计后的大部分手工工作自动化。 工程师可以在一款新的硬件上花一年多的时间，根据公司的说法，它的一些读取数据表可长达数千页。 错误经常被隐藏，直到一个原型机被实际建造和测试。
该公司认为，通用大型语言模型无法独自完成这项任务，因为它们从未受过专业设计的电路培训。 Circuit Mind的平台层 AI agents 超过一个有专利的基于物理的引擎，该引擎对照电能极限测试每个设计决定。
agents工作来自公司自己的机器可读电子组件模型。 每个客户的工程规则也输入，低于批准的制造商名单。
平台最初的应用将一款硬件块图转换为示意图，材料单和数分钟后辅助分析。 工程师们有几种选择可以比较，每个选择都优化为成本或动力等优先级。 完成的设计直接导出到他们团队已经使用的电子计算机辅助设计软件。
有了今天的代理验证引擎发布，Circuit Mind正在进行设计审查。 AI agents的一款集群利用组件数据表和客户装入的任何审查清单进行工作，追踪线路中的每一个连接和总线，以发现与针表或操作电压不匹配。 在系统批评自己的发现之前，任何信息都无法到达工程师手中。
大部分客户结果 Circuit Mind 引用涉及设计应用。 洛斯阿拉莫斯国家实验室的工程师们在4个多小时的时间里用完一个中等难度的板子，而手边估计有60至80个小时，实验室的一份报告被批准公开发布显示。
在Schneider Electric SE，早期评价指出，在探索电子架构的努力中削减了90%以上，称 Daniel Gheno是其能源管理首席技术官。 几家"财富"5公司也是客户。 Circuit Mind 称用户将材料成本降低了25%.
Charlie Eastberg),Emerson Electric Co.的流程系统及解决方案业务硬件工程总监，称两个Circuit Mind的应用程序都加快了团队从系统架构向分解结构的转变。 这些工具还改进了“设计验证和审查范围”，即称。
Circuit Mind联合创始人兼首席执行官Tomide Adesanmi 称，即使AI让软件团队飞得更快。 他将公司定位为硬件对Cursor和Claude Code等编码工具的回答。
Circuit Mind计划利用资金将平台推入设计生命周期的后期，包括测试和固件。 其销售，工程和客户成功团队也将增长，该公司正在设立一个美国总部，为北美的客户服务。
2500万美元由两轮组成。 Norwest Venture Partners领导了1,850万美元的A系列，新投资者Lightscape Partners和现有后援者Third Prime, Difficial Ventures和Blackhorn Ventures参加了这一轮。 其余来自第三总理率领的种子回合，此前未事先宣布。 Dave Zilberman是Norwest的总合伙人
Zilberman 称将AI与基于物理的模型配对，可以“从根本上改进工程师如何设计电子产品。”
AVE现在可以通过Circuit Mind的网站获取。 Adesanmi于2018年在伦敦与首席技术官Basilio Gentile一起创立了公司。 包括新的资金，其支持者现在为业务投入了3 340万美元。
图像：电路意识
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Circuit Mind lands $25M and puts AI agents to work checking circuit board schematics
British circuit board design startup Circuit Mind Ltd. today announced it has raised $25 million in new funding to extend its artificial intelligence platform across more of the hardware design process.
A verification tool that puts AI agents to work hunting for errors in schematics launched at the same time.
Circuit Mind offers software that automates much of the manual work behind printed circuit board design. Engineers can spend more than a year on a new piece of hardware, according to the company, some of it reading datasheets that run to thousands of pages. Mistakes often stay hidden until a prototype is physically built and tested.
In the company’s view, general-purpose large language models are not up to the task on their own, since they have never been trained on professionally designed circuits. Circuit Mind’s platform layers AI agents over a patented, physics-based engine that tests each design decision against electrical limits.
The agents work from the company’s own machine-readable models of electronic components. Each customer’s engineering rules feed in as well, down to its list of approved manufacturers.
The platform’s original application turns a hardware block diagram into a schematic, a bill of materials and supporting analysis in minutes. Engineers get several options back to compare, each optimized for a priority such as cost or power. Finished designs export straight into the electronic computer-aided design software their teams already use.
With the Agentic Verification Engine launched today, Circuit Mind is going after design review. AVE hands that work to a swarm of AI agents. Working from component datasheets and any review checklists a customer has loaded in, they trace every connection and bus in the circuit for mismatches with pin tables or operating voltages. Nothing reaches an engineer until the system has critiqued its own findings.
Most of the customer results Circuit Mind cites involve the design application. Engineers at Los Alamos National Laboratory finished a medium-difficulty board in just over four hours using it, against an estimated 60 to 80 hours by hand, a report the lab cleared for public release shows.
At Schneider Electric SE, early evaluations point to a cut of more than 90% in the effort spent exploring electronic architectures, said Daniel Gheno, its chief technology officer for energy management. Several Fortune 5 companies are customers too. Circuit Mind says users have brought bill of materials costs down by 25%.
Charlie Eastberg, director of hardware engineering in the process systems and solutions business at Emerson Electric Co., said both of Circuit Mind’s applications have sped up his team’s move from system architecture to schematic. The tools have also improved “design validation and review coverage,” he said.
Electronics design “hasn’t changed in 40 years,” Circuit Mind co-founder and Chief Executive Tomide Adesanmi said, even as AI has let software teams ship far faster. He pitched the company as hardware’s answer to coding tools such as Cursor and Claude Code.
Circuit Mind plans to use the funding to push the platform into further stages of the design lifecycle, including testing and firmware. Its sales, engineering and customer success teams will grow as well, and the company is setting up a U.S. headquarters to serve customers in North America.
The $25 million is made up of two rounds. Norwest Venture Partners led an $18.5 million Series A round in which new investor Lightscape Partners and existing backers Third Prime, Differential Ventures and Blackhorn Ventures took part. The rest comes from a seed round, previously unannounced, that Third Prime led. Dave Zilberman, a general partner at Norwest, will join Circuit Mind’s board as part of the deal.
Zilberman said the pairing of AI with physics-based models could “fundamentally improve how engineers design electronics.”
AVE is available now through Circuit Mind’s website. Adesanmi founded the company in London in 2018 with Chief Technology Officer Basilio Gentile. Including the new funding, its backers have now put $33.4 million into the business.
Image: Circuit Mind
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