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Circuit Mind raises $18.5M Series A for AI chip-board design

London startup Circuit Mind raised an $18.5M Series A led by Norwest to automate electronic circuit design with AI.

FundingAINOTABLE4 min read
Circuit Mind raises $18.5M Series A for AI chip-board design

Circuit Mind has raised an $18.5M Series A led by Norwest to cut electronics design time from months to weeks, bringing its total funding to $33.4M.

  • Circuit Mind raised an $18.5M Series A led by Norwest, within a broader $25M financing package.
  • Total funding reaches $33.4M; the valuation was not disclosed.
  • Norwest general partner Dave Zilberman joins the board; a US headquarters is planned.

Lead

Circuit Mind, a London startup that uses AI to generate circuit schematics, has raised an $18.5M Series A led by Norwest, the company announced in October 2026. The round sits inside a larger $25M financing that lifts total capital raised to $33.4M, and includes a previously unannounced seed round led by Third Prime. Existing investors Third Prime, Differential and Blackhorn returned, and new backer Lightscape VC joined. Valuation was not disclosed.

Norwest general partner Dave Zilberman takes a seat on the board. The company will spend the money on sales, engineering and customer success hires, on extending its product across the electronics design lifecycle, and on opening a US headquarters to serve North America.

What Does Circuit Mind Actually Sell?

Circuit Mind sells a platform called ACE that converts a hardware block diagram into a schematic, a bill of materials and supporting analysis in minutes. It can produce several design options, each optimised for cost, size, power or supply chain, and it plugs into the ECAD tools engineers already use.

The company pairs agentic AI with a patented, physics-based decision engine. That pairing is the pitch: a pure language model can draft a plausible circuit, but a schematic that fails on component limits or power budgets is worthless, so the physics layer is meant to check the output before an engineer sees it.

Circuit Mind was founded in 2018 by Tomide Adesanmi, now chief executive, and Basilio Gentile. It spent years in development before a public launch, which explains why the seed round only surfaced alongside this announcement.

Who Is Using It, and With What Results?

Customers include Emerson, Schneider Electric and companies the startup describes as Fortune 500 firms. Circuit Mind says these teams cut design time from months to weeks and reduce bill of materials cost by 25%. Both figures are company claims; no customer has published independent measurements.

The cost figure matters more than the speed figure. Component selection drives a large share of a hardware product's unit cost, and a 25% reduction on a high-volume device compounds quickly. If the number holds across customers and product types, it is a stronger sales argument than faster drafting.

Why Did Norwest Lead This Round?

Norwest led because Circuit Mind targets a slow, manual step in hardware engineering that AI has barely touched, and the firm now has a board seat to shape how the company scales. Software design has attracted heavy AI investment, with code generation and chip-design tools drawing most of the capital. Board-level circuit design has seen far less, and incumbent ECAD vendors have been slow to add automation of this kind.

The round size is modest by 2026 AI standards. An $18.5M Series A after roughly $14.9M of earlier capital suggests investors are paying for traction with named industrial customers, not for a story. The undisclosed valuation limits how far that reading can go, but the spread between the $25M headline and the $18.5M equity round also signals that the company is not chasing the largest possible cheque.

What Are the Risks?

The main risk is trust. Hardware teams carry liability for field failures, and an engineer who must re-verify every generated schematic gains little. Circuit Mind's emphasis on deterministic, verified output addresses this directly, but adoption will depend on how often engineers accept designs without rework.

Competition is the second issue. The established ECAD vendors hold the design files and the customer relationships, and several AI startups are attacking adjacent stages of electronics design, from layout to simulation. Integration with existing ECAD tools lowers the barrier to entry, though it also leaves Circuit Mind dependent on platforms owned by potential rivals.

What Comes Next for Circuit Mind?

The next 12 to 18 months hinge on the US expansion and on widening the product beyond schematic generation. A North American office puts the company closer to the aerospace, industrial and consumer hardware buyers that fund large electronics programmes. Extending ACE across more of the design lifecycle would raise revenue per customer, but it would also pull the company into direct contact with the vendors whose tools it currently relies on.

A Series B would likely require published customer outcomes and recurring revenue figures, neither of which Circuit Mind has disclosed.

Outlook

Circuit Mind has $18.5M in new Series A capital, a lead investor with a board seat, and early industrial customers reporting shorter design cycles and lower component costs. The claims remain unverified externally, the valuation is undisclosed, and the US push will test whether the product travels beyond its first accounts. Success depends on engineers trusting the output enough to skip the rework.

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