Circuit Mind $25M Funding: AI for Electronics Design

Circuit Mind funding has hit $25 million. The London startup, which builds AI software that designs and checks circuit boards, announced the new money on October 28, 2026. Norwest led an $18.5 million Series A, and a previously unannounced seed round makes up the rest.

The company says it wants to give professional hardware engineers a huge productivity jump. CEO Tomide Adesanmi shared the news on X, describing a mission to build trustworthy, defensible AI that multiplies the output of the engineers who design the most critical boards. Here is the announcement:

What Is Circuit Mind?

Circuit Mind runs an electronic design intelligence platform for enterprise hardware teams. Its software generates, verifies, and optimizes printed circuit board designs inside the ECAD tools engineers already use. The company is based in London and sells to large engineering organizations that build high-stakes products.

The pitch is straightforward. Software developers now ship code far faster with AI, yet electronics design has barely changed in decades. Circuit Mind aims to close that gap. Visit the official Circuit Mind website to see the platform in action.

Circuit Mind Funding at a Glance

Who Backed the Circuit Mind Series A?

Norwest took the lead on the $18.5 million Series A. Existing backers Third Prime, Differential Ventures, and Blackhorn Ventures doubled down on the round. Lightscape VC joined as a new investor.

Third Prime had already led the earlier seed round, which the company kept quiet until now. Dave Zilberman, a general partner at Norwest, takes a seat on Circuit Mind’s board. He believes pairing AI with physics-based models can fundamentally change how engineers design electronics.

Meet the Circuit Mind Founders

Tomide Adesanmi serves as co-founder and CEO. He leads the company’s vision and public message, and he announced this round on X. His core argument: engineers deserve the same AI leverage that coding tools gave software teams.

Basilio Gentile serves as co-founder and CTO. He steers the technical side, where deep electronics knowledge meets optimization algorithms and AI.

Electronics design has not changed in 40 years, even as software teams ship far faster with AI.

That idea, in Adesanmi’s words, sits at the heart of the company.

How Circuit Mind’s AI Electronics Design Platform Works

The platform rests on two applications, both built on a proprietary library of component digital twins. These twins turn messy datasheets into structured data that AI can reason over.

ACE: Automated Circuit Engineering

ACE turns a block diagram and a set of requirements into a working schematic, a bill of materials, and supporting documents. These include power analysis, derating analysis, an interface control document, and an FMEA template. It optimizes for cost, size, power, and supply chain availability. Engineers can export results into major ECAD tools such as Altium, OrCAD, and Xpedition.

AVE: Agentic Verification Engine

AVE launched on the same day as the funding. A team of AI agents reads an existing schematic and checks it against component datasheets, application notes, and a company’s own design rules. It hunts for wrong pin connections, voltage violations, interface mismatches, and missing support circuitry. Standard design rule checks often miss those errors, and they can trigger expensive board respins. Every finding links back to the exact component, connection, and datasheet evidence, so engineers can review it fast.

Unlike tools that guess from a PDF, Circuit Mind says its patented physics-based algorithm lets the solve itself show that a circuit is correct.

Customers and Results Behind the Circuit Mind Funding

Circuit Mind lists hardware teams at Schneider Electric, Emerson, BAE Systems, and National Instruments among its users. Los Alamos National Laboratory validated the platform in a peer-reviewed study. The company reports that engineers there finished one design in about four hours instead of roughly two weeks.

• Design schedules shrink from months to weeks, according to the company.
• Bill of materials cost drops by around 25%.
• Respins fall by 30% or more.
• Component selection and schematic capture drop from weeks to minutes or hours.

These numbers come from the company and its customers, so teams should test them against their own workflows. Circuit Mind also offers managed cloud, private cloud, on-premises, and air-gapped deployment, and it states that customer designs never train its models. See its LinkedIn page for company updates.

How Circuit Mind Will Use the New Funding

The startup plans to spend the money in three main ways:

• Expand the platform across more of the electronics design lifecycle, including design analysis, reporting, testing, and firmware.
• Grow the team in sales, engineering, and customer success.
• Open a US headquarters to serve American customers directly.

Why This Circuit Mind Funding Matters

Hardware keeps getting more complex, and board errors cost real money and time. Every respin delays a product launch. AI that verifies its own work, backed by physics instead of guesswork, speaks directly to that pain. Investors clearly see room for a specialist tool in a field that general-purpose AI has not reached.

The raise also adds to a busy stretch for AI startups. YipZap recently covered how Judgment Labs opened general access after raising $32M to monitor AI agents, and how Nevis raised $70M in Series B to scale AI for wealth advisers.

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