Circuit Mind disclosed $25 million in funding and launched an AI verification engine to check circuit designs against datasheets and company rules.
London-based Circuit Mind announced $25 million in new financing on October 28, including an $18.5 million Series A led by Norwest and an earlier seed round. The company said the combined funding brings its total to $33.4 million. Third Prime, Differential and Blackhorn participated again, while Lightscape VC joined the Series A; Norwest general partner Dave Zilberman is joining the board.
The announcement also introduced AVE, the Agentic Verification Engine. Circuit Mind says AVE uses AI agents to check electronic designs against component datasheets and an organization’s own design rules, aiming to flag issues before a prototype is manufactured. Its existing ACE application starts from a hardware block diagram and produces a schematic, bill of materials and supporting analysis, with design options optimized for factors such as cost, size, power or component availability.
The company’s platform combines agentic AI with a physics-based decision engine, structured electronic-component data and customer-specific engineering rules. It integrates with electronic computer-aided design tools and other engineering systems teams already use. Circuit Mind says the funding will support platform development and hiring, as well as establishing a U.S. headquarters.
The company says engineering teams at Emerson, Schneider Electric and other large firms are using its tools. It also cites a peer-reviewed case study in which Los Alamos National Laboratory engineers completed an electronics design in four hours that would otherwise have taken two weeks. These are company-reported examples, not an independent comparative evaluation of the product across different projects.
Circuit design remains a specialized engineering workflow where small errors can lead to costly revisions after physical prototypes are built. The launch of AVE extends Circuit Mind’s offering from generating designs to reviewing existing schematics. Whether it can reliably reduce review time and prevent manufacturing rework will depend on performance across customer designs and workflows.