Circuit design receives $25 million investment

London-based Circuit Mind has raised $25 million to grow its AI platform for electronic circuit design and verification. The package includes an $18.5 million Series A round and a previously unannounced seed investment. That brings the company’s total funding to $33.4 million.

Norwest led the Series A round. Existing investors Third Prime, Differential Ventures and Blackhorn Ventures joined the round, while Lightscape VC came in as a new investor. Third Prime had led the seed round. Norwest partner Dave Zilberman is also joining Circuit Mind’s board.

From block diagram to schematic

Electronic design is much more than placing symbols on a screen. Engineers need to choose compatible parts, meet electrical constraints, account for supply availability, and document why the design meets requirements. A mismatch that looks small can send the team back to square one during manufacturing and testing.

The company’s ACE (Assistant to Circuit Engineers) tool starts from a hardware block diagram. According to the description, it produces a schematic, a bill of materials, and supporting analysis in minutes; engineers can compare options optimized for cost, size, power consumption, or part availability. Inputs include signals, functional requirements, mechanical constraints, and procurement needs. Outputs can be transferred to ECAD software and part libraries.

Verification that catches errors before production

AVE (Agentic Verification Engine), announced alongside the new funding, checks designs against part datasheets and the company’s own engineering rules. The goal is to surface issues that classic schematic reviews might miss before a prototype is built, reducing the need to respin the board.

The platform combines agentic AI with a patented, physics-based decision engine, structured part models, and customer-specific engineering context. This context includes approved manufacturers, preferred parts, and design rules. The company says the platform integrates with the ECAD tools, libraries, product lifecycle management systems, and engineering environments customers already use.

The numbers come from the company itself

Circuit Mind says engineering teams at Emerson, Schneider Electric, and Fortune 5 companies are using the platform. The announcement claims design schedules have dropped from months to weeks, bill-of-materials costs have fallen by 25%, and there have been fewer manufacturing respins. These figures come from the company’s own reported results, not an independent comparison.

A more concrete example is the Los Alamos National Laboratory evaluation. A medium-complexity microcontroller design was completed in 4 hours and 13 minutes, compared with a manual reference of 60-80 hours. Of that time, 35 minutes went to setup, 8 minutes to automated resolution, and about three and a half hours to manual work. The same summary also notes that a harder FPGA design left a significant amount of manual work because some components were not supported. So it is not correct to generalize a single speedup ratio to every board.

The limits of verification

A schematic passing a rule set does not mean the product is complete and qualified. Physical layout, electromagnetic interference, thermal behavior, manufacturing tolerances, and operating conditions can impose additional constraints. That is why the scope of automated checking should be evaluated together with the models and assumptions applied.

Circuit Mind was founded by Tomide Adesanmi and Basilio Gentile. The company will use the new funding to extend the platform across the entire design lifecycle, grow its sales and engineering teams, and establish a U.S. center to serve North America. The real test will come in the exceptions that make real projects hard: missing datasheets, changing requirements, unfamiliar parts, and company-specific standards.

Source: Unite.AI