Circuit Mind, a London-based technology company co-founded by Nigerian-born entrepreneur Tomide Adesanmi, has raised $25 million in new funding to expand its artificial intelligence platform for electronics design, verification, and optimization.
Announced on October 28, 2026, the financing comprises an $18.5 million Series A round led by Norwest and a previously undisclosed seed round led by Third Prime. The Series A also attracted participation from existing investors Differential and Blackhorn, alongside new investor Lightscape VC.
The latest financing brings Circuit Mind’s total funding to $33.4 million. As part of the investment, Norwest General Partner Dave Zilberman will join the company’s board of directors.
Founded in 2018 by Adesanmi and Chief Technology Officer Basilio Gentile, Circuit Mind develops AI-powered software designed to automate parts of the electronics engineering process. The company plans to use the new capital to expand its platform, strengthen its sales, engineering, and customer success teams, and establish a United States headquarters to serve the North American market.
Circuit Mind Targets Bottlenecks in Electronics Design
Circuit Mind is developing technology to address the time and complexity involved in designing electronic systems and printed circuit boards (PCBs), which are essential components in products ranging from consumer electronics to industrial equipment.
Traditional electronics design involves selecting components, reviewing technical datasheets, running simulations, and checking circuit schematics against engineering requirements. Errors discovered after a prototype has been manufactured can require redesigns and additional production cycles, increasing development costs and delaying product launches.
Circuit Mind’s platform combines AI agents with physics-based models and structured electronic component data to help engineers automate design decisions while accounting for electrical constraints and other technical requirements.
Its existing application, ACE, generates circuit schematics, bills of materials, and supporting engineering analysis from system-level block diagrams. It also allows engineers to explore design options based on factors such as cost, size, power consumption, and component availability.
On October 28, the company introduced a second application, the Agentic Verification Engine (AVE), which uses AI agents to check circuit designs against component datasheets, application notes, and company-specific engineering rules. The tool is intended to identify potential design errors before they lead to expensive manufacturing revisions.
Evidence of the platform’s potential includes an evaluation involving engineers at Los Alamos National Laboratory. According to a publicly reported case study, the team completed approximately 90% of a production-representative PCB schematic design in just over four hours, compared with an estimated 60 to 80 hours using traditional engineering workflows.
CircuitMind also reports that engineering teams at companies including Emerson and Schneider Electric are using its technology. The company says its platform has helped customers reduce electronics design time and lower bills of materials costs, although these results are company-reported and may vary across applications.
Funding to Support Expansion Beyond Design
The latest investment will support Circuit Mind’s expansion into additional stages of the electronics development process, including design analysis, reporting, testing, and firmware.
The planned US headquarters will also position the company to serve North American customers more directly, while additional hiring is expected to support product development and commercial growth.
The investment reflects continued investor interest in specialized AI applications that address complex industrial and engineering workflows. Unlike general-purpose AI tools, Circuit Mind’s approach incorporates component-specific data, engineering rules, and physics-based decision-making to address the accuracy requirements of hardware development.
For electronics manufacturers, the potential benefits include faster design cycles, more opportunities to compare alternative designs, and earlier identification of errors. However, the technology’s wider impact will depend on its performance across different engineering environments and its ability to integrate reliably into existing development and verification processes.
With $33.4 million in total funding, Circuit Mind is positioning itself to expand its presence in the electronics design market as manufacturers explore how AI can improve engineering productivity and product development.
