Circuit Mind Raises $25 Million and Launches AI Agents That Check Circuit Board Schematics
The London startup's new Agentic Verification Engine targets design review, and the funding will pay for a U.S. headquarters.
Published
Last updated / Fact-checked on
Circuit Mind Ltd., a London startup that automates printed circuit board design, said on Oct. 28, 2026 that it has raised $25 million. At the same time, it launched its Agentic Verification Engine (AVE), which uses AI agents to hunt for errors in schematics. The company plans to spend the money on expanding its platform, growing its team and opening a U.S. headquarters, SiliconANGLE reported.
Illustrative image. Jan Helebrant, CC0, via Wikimedia Commons.
The funding
The $25 million comes from two rounds:
| Round | Amount | Lead | Other participants |
|---|---|---|---|
| Series A | $18.5M | Norwest Venture Partners | Lightscape Partners (new), Third Prime, Differential Ventures, Blackhorn Ventures |
| Seed (previously unannounced) | Remainder of the $25M | Third Prime | Not disclosed |
Norwest general partner Dave Zilberman will join the board. He said pairing AI with physics-based models could "fundamentally improve how engineers design electronics."
Counting the new money, backers have put $33.4 million into the company, according to SiliconANGLE. The company did not disclose the seed round's exact size.
The problem it targets
According to Circuit Mind, engineers can spend more than a year on a new piece of hardware. Part of that time goes to reading component datasheets that can run to thousands of pages. Mistakes often stay hidden until a physical prototype is built and tested.
The company argues that general-purpose large language models can't handle the job alone, because they have never been trained on professionally designed circuits. Its platform layers AI agents on top of a patented, physics-based engine that checks each design decision against electrical limits. The agents work from Circuit Mind's own machine-readable models of electronic components. They also take in each customer's engineering rules, down to its list of approved manufacturers.
How the verification engine works
AVE focuses on design review. A group of AI agents uses component datasheets and any review checklists the customer has loaded. They trace every connection and bus in a circuit, looking for mismatches with pin tables or operating voltages. The system critiques its own findings before anything reaches an engineer.
AVE is available now through Circuit Mind's website. It joins the company's original application, which turns a hardware block diagram into a schematic, a bill of materials and supporting analysis in minutes. That application returns several options, each optimized for a priority such as cost or power. Finished designs export straight into the electronic computer-aided design (ECAD) tools teams already use.
Customer results
Most of the results Circuit Mind cites come from its design application, not the new verification engine:
- Los Alamos National Laboratory: Engineers finished a medium-difficulty board in just over four hours, compared with an estimated 60 to 80 hours by hand, according to a report the lab cleared for public release.
- Schneider Electric: Early evaluations point to a cut of more than 90% in the effort spent exploring electronic architectures, said Daniel Gheno, its chief technology officer for energy management.
- Emerson Electric: Charlie Eastberg, a director of hardware engineering, said both applications sped up his team's move from system architecture to schematic and improved "design validation and review coverage."
The company also says several Fortune 5 companies are customers and that users have cut bill-of-materials costs by 25%. Those figures come from the company and have not been independently verified.
Company background and plans
Tomide Adesanmi, the chief executive, and Basilio Gentile, the chief technology officer, founded Circuit Mind in London in 2018. Adesanmi says electronics design "hasn't changed in 40 years," even as AI has let software teams ship much faster. He pitches the company as hardware's answer to AI coding tools such as Cursor and Claude Code.
Next, Circuit Mind plans to extend the platform to later stages of design, including testing and firmware. It will also grow its sales, engineering and customer success teams. Hardware teams evaluating AVE should test it against a past design whose errors they already know. That's a practical way to measure what the agents catch. For more coverage, see our Artificial Intelligence hub.
How we reported this
We checked every figure against SiliconANGLE's Oct. 28, 2026 report, including the $33.4 million total. We removed secondary sources from an earlier draft because we could not check them. Customer results are as reported by the company and its customers.
Sources
- SiliconANGLE, "Circuit Mind lands $25M and puts AI agents to work checking circuit board schematics," Duncan Riley, Oct. 28, 2026: https://siliconangle.com/2026/10/28/circuit-mind-lands-25m-and-puts-ai-agents-to-work-checking-circuit-board-schematics/
DailyMech used AI tools to help research and draft this article; it was fact-checked by our editors.