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Circuit Mind raises $25m to design and check circuit boards with AI
Circuit Mind's total funding now reaches $33.4m. The London startup also launched AVE, a tool that uses AI agents to check circuit designs against component datasheets. Norwest has led an $18.5 million Series A in Circuit Mind, a London startup that designs circuit boards with AI. The company also
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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
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Circuit Mind secured $25 million in funding led by Norwest to expand its AI-powered electronics design platform. The London startup simultaneously launched AVE, a verification tool using AI agents to check circuit board schematics against component datasheets, aiming to transform hardware design workflows that haven't changed in decades.
Circuit Mind has raised $25 million in new funding to expand its AI circuit design platform across more stages of the hardware development process
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. Norwest led an $18.5 million Series A round, with participation from new investor Lightscape Partners and existing backers Third Prime, Differential Ventures and Blackhorn Ventures2
. The London-based startup also disclosed a previously unannounced seed round led by Third Prime, bringing total funding to $33.4 million1
. Dave Zilberman, a general partner at Norwest, joins Circuit Mind's board as part of the deal2
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Source: The Next Web
Coinciding with the funding announcement, Circuit Mind launched its Agentic Verification Engine (AVE), a tool that deploys AI agents checking circuit boards for design errors
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. AVE uses a swarm of AI agents to hunt for errors in circuit board schematics by tracing every connection and bus against component datasheets and customer review checklists2
. Before reporting findings to engineers, AVE reviews its own results and discards conclusions that don't hold up under scrutiny1
. This approach to automate error detection addresses a critical bottleneck in printed circuit board design, where mistakes often remain hidden until physical prototypes are built and tested2
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Source: SiliconANGLE
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