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Circuit Mind Raises $25 Million, Launches AI Tool for Circuit Board Review

The financing includes an $18.5 million Series A led by Norwest and a seed round whose amount was not disclosed. Circuit Mind plans to expand its teams and establish a U.S. headquarters.

Hands trace circuit paths beside a populated green board / TokenPost.ai
Hands trace circuit paths beside a populated green board / TokenPost.ai

Circuit Mind raised $25 million and launched an AI tool for checking printed circuit board schematics, adding verification software as the company expands its electronics design platform.

The company announced the financing and its Agentic Verification Engine (AVE) on Oct. 28. AVE checks schematics against component datasheets, application notes and each organization's design-review checklists. It examines pin tables and operating voltages, traces connections and buses, then reviews its findings before reporting them to engineers. The tool is available now, and engineering teams can request access or a demo through Circuit Mind's website.

Circuit Mind's wider platform combines AI agents with physics-based models and machine-readable component data, incorporating customer engineering rules. Its existing ACE application turns hardware block diagrams into schematics, bills of materials and supporting analysis.

The $25 million financing comprises an $18.5 million Series A led by Norwest and an earlier seed round led by Third Prime. The seed round's amount was not disclosed. Lightscape VC, Third Prime, Differential and Blackhorn participated in the Series A. Norwest General Partner Dave Zilberman will join Circuit Mind's board.

Circuit Mind plans to extend its platform into design analysis, reporting, testing and firmware. It also plans to add staff in sales, engineering and customer success, and establish a U.S. headquarters.

Charlie Eastberg, director of hardware engineering for Emerson's process systems & solutions business, credited ACE and AVE with helping his team turn system architecture into schematic implementations. He also said the tools improved “design validation and review coverage.”

A 2025 Los Alamos National Laboratory evaluation examined Circuit Mind's design-generation platform, not AVE. For one medium-difficulty design, it recorded 4 hours and 13 minutes of work, including 3.5 hours of manual work after automation, and listed 60 to 80 hours as the manual-design comparison.

John Kim

John Kim reports on the digital-asset business for TokenPost. Send corrections or tips to info@tokenpost.com.

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