Circuit Mind
AI software automating circuit board design, verification, and optimization for enterprise electronics teams.
Website: https://www.circuitmind.io/
Cover Block
From the public record
| Field | Value |
|---|---|
| Name | Circuit Mind |
| Tagline | AI software automating circuit board design, verification, and optimization for enterprise electronics teams. |
| Headquarters | London, UK [LinkedIn] |
| Founded | 2018 [LinkedIn, April 2022] |
| Stage | Series A [The Next Web, October 2026] |
| Business model | SaaS |
| Industry | Deeptech |
| Technology | AI / Machine Learning |
| Geography | Western Europe |
| Growth profile | Venture Scale |
| Founding team | Co-Founders (2), Tomide Adesanmi and Basilio Gentile [LinkedIn] [The Org] |
| Funding label | $10M+ |
| Total disclosed funding | ~$33,400,000 [The Next Web, October 2026] |
Links
From the public record
- LinkedIn: https://uk.linkedin.com/company/circuit-mind
- Spotify: https://open.spotify.com/episode/6Z2qmvYYR136dVAETdlmCK
The Short Version
PUBLIC Circuit Mind builds software that automates circuit-board design, verification, and optimization, and it merits investor attention now because the company paired an $18.5 million Series A with the launch of AVE, a new verification product, in October 2026, bringing disclosed funding to $33.4 million [The Next Web, October 2026] [Finsmes, October 2026]. The company was founded in London in 2018, with public reporting tying its formation to Entrepreneur First, and it is now positioning itself as an enterprise software supplier for electronics teams rather than a narrow design tool vendor [LinkedIn, April 2022] [Entrepreneur First, 2019].
The product thesis is straightforward: Circuit Mind is trying to move more of the electronic design workflow from manual engineering effort into a software layer that can generate designs, check them against constraints, and optimize cost and performance inside existing ECAD workflows [Yahoo Finance] [Business Insider, October 2026]. Public coverage points to a two-product structure, ACE for design generation and AVE for design verification, with differentiation resting less on a generic model layer than on a physics-based engine and proprietary design data layer that appears intended to make outputs auditable for enterprise engineering teams [Business Insider, October 2026] [SiliconANGLE, October 2026].
The founding team looks relevant to the problem set, although the public record is stronger on technical than commercial detail. Tomide Adesanmi is identified as co-founder and CEO in public profiles, while Basilio Gentile is listed as co-founder and CTO and is described in public sources as having pursued a PhD in electrical engineering at ETH Zurich from 2014 to 2018 [LinkedIn] [Electronic Specifier] [The Org].
On financing, the record is directionally clear even if some round detail is uneven across sources: an early seed was associated with Third Prime in 2019, Google for Startups' Black Founders Fund provided non-dilutive backing in 2021, and Norwest led the October 2026 Series A, with Norwest general partner Dave Zilberman joining the board [Entrepreneur First, 2019] [Forbes, June 2021] [The Next Web, October 2026] [daily.dev]. The business model is presented as SaaS for enterprise electronics organizations, and public references to users including Emerson and Schneider Electric suggest the company has at least some foothold in complex industrial accounts, though most reported outcome metrics still trace back to company-linked claims and should be treated with care [The AI Journal] [Yahoo Finance].
Over the next 12 to 18 months, the key watchpoints are whether Circuit Mind can convert verification into a broader platform wedge, whether U.S. expansion translates into repeatable enterprise adoption, and whether customer proof moves from anecdotal time-savings claims toward independently legible deployment depth [The Next Web, October 2026] [SiliconANGLE, October 2026]. If that evidence firms up, the company starts to look less like a point solution in engineering software and more like an emerging system of record for parts of the electronics design lifecycle.
Single-source, plausible -- Confirmed by multiple public sources for funding, founders, and product positioning, with some operating and outcome claims still relying on company-linked or lightly corroborated reporting.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Series A |
| Business Model | SaaS |
| Industry / Vertical | Deeptech |
| Technology Type | AI / Machine Learning |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | $10M+ total disclosed, approximately $33.4M [The Next Web, October 2026] |
The Company in Brief
PUBLIC
Circuit Mind presents as a London-based electronics design software company formed in 2018, with a focus on automating circuit-board design work for enterprise engineering teams [Crunchbase]. Public company profiles consistently place the business in London and identify Tomide Adesanmi and Basilio Gentile as co-founders, which is enough to establish the basic corporate outline even if public filings were not provided in the source set [Crunchbase] [LinkedIn].
The externally visible milestones are straightforward and, on the public record, still relatively few. Crunchbase lists the company as founded in 2018 and shows venture financing activity beginning with seed funding, followed by later disclosed capital that brought total funding to $33.4 million by October 2026 [Crunchbase] [Circuit Mind]. The company website also frames Circuit Mind around AI software for circuit-board design, verification, and optimization, which aligns with how its financing history has been presented to the market [Circuit Mind].
The founding story remains only partly documented in the approved source set for this section. What can be said on a conservative read is that Circuit Mind emerged in London in 2018, built around two technical founders, and has since matured from an early-stage design automation startup into a Series A company with a broader enterprise software pitch [Crunchbase] [Circuit Mind].
Single-source, plausible -- Grounded primarily in Crunchbase, with partial corroboration from the company website and LinkedIn.
What They Have Built
MIXED
Circuit Mind is selling software for a narrow but expensive engineering problem: getting circuit-board designs generated, checked, and optimized without forcing teams to rebuild the rest of their electronic design workflow. Public coverage consistently describes the platform as automating circuit-board design, verification, and optimization for enterprise electronics teams, with ACE positioned for design generation and AVE for design verification [The Next Web, October 2026] [Business Insider, October 2026] [Yahoo Finance]. Yahoo Finance also describes the product as an electronic design intelligence platform built into the ECAD stack teams already use, which matters because the practical barrier in this category is usually workflow disruption rather than raw model quality alone [Yahoo Finance].
The technical differentiation that is at least partially corroborated in public sources appears to rest on more than a generic AI layer. SiliconANGLE reports that Circuit Mind places AI agents over a patented, physics-based engine that checks each design decision against electrical limits, while company-linked and secondary materials describe a mix of deterministic algorithms and a proprietary digital-twin data layer behind the automation workflow [SiliconANGLE, October 2026] [Creative Destruction Lab] [Business Insider, October 2026]. That combination, if borne out in customer deployments, would fit the demands of electronics engineering better than a pure text-generation interface, because verification and constraint handling are central to whether an output is usable in production.
Public evidence on performance is directionally encouraging but still unevenly sourced. The strongest third-party operating example in the record is Los Alamos National Laboratory, where engineers reportedly completed in four hours a design that would otherwise have taken two weeks [Yahoo Finance]. Broader claims, including design cycles falling from months to weeks and bill-of-materials savings of 25%, appear in press coverage and customer references naming Emerson and Schneider Electric, but those figures still trace back closely to company-provided claims rather than independent benchmarking [The AI Journal] [The Next Web, October 2026]. The recent launch of AVE suggests the company is extending from initial design generation into verification, which is strategically sensible because verification sits closer to the reliability threshold large hardware teams care about [Business Insider, October 2026].
Single-source, plausible -- Product scope is corroborated by multiple public sources, but several technical and performance details rely on company-linked claims or lightly verified press coverage.
Market Size and Demand
PUBLIC
The market matters now because electronics teams are being asked to ship more complex hardware into regulated, safety-sensitive environments, while the underlying circuit-design workflow still appears heavily manual in the public reporting on Circuit Mind [SiliconANGLE, October 2026] [The Next Web, October 2026].
Public source coverage does not provide a cited TAM, SAM, or SOM for Circuit Mind itself, so the cleaner approach is to frame the addressable market through the buying function the company serves rather than force a precision that the record does not support. The company is described as selling software for enterprise electronics teams that design products such as aircraft, satellites, and surgical robots [SiliconANGLE, October 2026] [Yahoo Finance]. That places it at the intersection of electronic design automation, engineering software, and broader industrial AI, with initial adoption likely tied less to seat count than to the value of avoided design errors, respins, and procurement inefficiency [The Next Web, October 2026] [The AI Journal].
Demand signals in the public record are narrow but directionally relevant. Named users include Emerson and Schneider Electric, while additional users are described only at a high level as Fortune 5 companies [The AI Journal] [The Next Web, October 2026]. The reported buyer pain is concrete: faster design cycles, lower bill-of-materials cost, and fewer redesign loops, with one case study stating that engineers at Los Alamos National Laboratory completed in four hours a design that otherwise would have taken two weeks [Yahoo Finance]. Those figures are partly company-reported through press coverage, so they should be read as evidence of the sales narrative rather than as independently audited market benchmarks [The Next Web, October 2026] [Yahoo Finance].
The adjacent markets are easier to identify than to size from the materials here. Circuit Mind sits beside incumbent ECAD and verification workflows rather than outside them, with public descriptions emphasizing software built into the engineering stack teams already use [Yahoo Finance]. Substitute behavior today is the status quo itself: manual circuit design, spreadsheet-based bill-of-materials tradeoffs, conventional rule-checking, and human-led verification. If the product works as described, its economic case is strongest in sectors where a single board respin can delay a program by more than a month or where reliability requirements make verification labor expensive [The Next Web, October 2026] [The AI Journal].
Macro and regulatory forces also appear supportive, even if the sources do not quantify them. The end markets named in public coverage, including aerospace, satellites, industrial systems, and medical-adjacent hardware, tend to carry strict reliability expectations and long design cycles [SiliconANGLE, October 2026] [Yahoo Finance]. That does not automatically create software budget, but it does make error reduction and traceable verification more valuable than in lower-consequence consumer hardware categories. The company's October 2026 financing announcement also tied expansion to broader lifecycle coverage and a planned U.S. headquarters, which suggests management sees North American enterprise electronics as a sufficiently large commercial wedge to justify geographic buildout [The Next Web, October 2026] [Finsmes, October 2026].
| Market lens | What the public record supports | Source basis |
|---|---|---|
| Core buying center | Enterprise electronics and hardware teams designing complex devices | [SiliconANGLE, October 2026] [Yahoo Finance] |
| Primary pain point | Manual design and verification workflows that can extend cycle time and cause respins | [SiliconANGLE, October 2026] [The Next Web, October 2026] |
| Economic wedge | Time savings, lower bill-of-materials cost, fewer redesign cycles | [The AI Journal] [The Next Web, October 2026] |
| Highest-value end markets named | Aircraft, satellites, surgical robots, industrial systems | [SiliconANGLE, October 2026] [Yahoo Finance] |
| Geographic expansion signal | Planned U.S. headquarters to serve North America | [The Next Web, October 2026] [Finsmes, October 2026] |
The table points to a market definition built around workflow criticality rather than a broad horizontal software category. In practice, that usually means the near-term opportunity is concentrated in large engineering organizations where a single avoided error can justify enterprise software spend.
Single-source, plausible -- Market framing is supported by named public coverage and customer references, but this section has no third-party market-size dataset and relies partly on company-reported outcomes carried by media coverage.
Who Else Is Fighting for This
MIXED Circuit Mind appears to be positioning itself less against a single named startup rival and more against the default workflow inside electronics engineering teams: incumbent ECAD software plus substantial manual design, verification, and redesign effort [The Next Web, October 2026] [SiliconANGLE, October 2026].
The public record is thin on named direct competitors, which is itself informative. The coverage available here describes Circuit Mind as software that generates, verifies, and optimizes circuit-board designs inside the ECAD stack that engineers already use, with ACE covering design generation and AVE covering verification [Yahoo Finance] [Business Insider, October 2026]. That places the company in a contested middle layer. Upstream sit established design-system vendors and internal engineering workflows; downstream sit test, validation, and manufacturing constraints. The practical alternative for many teams is not another AI-native board-design startup identified in the source set, but continuing with existing schematic tools and expert-led review cycles [SiliconANGLE, October 2026] [The Next Web, October 2026].
Circuit Mind's clearest edge, based on public evidence, is product framing around measurable engineering outcomes rather than generic copilot assistance. The company and its cited users point to shorter design cycles, lower bill-of-materials costs, and fewer respins, with named customer references including Emerson and Schneider Electric [The AI Journal] [The Next Web, October 2026]. The more technical differentiation claim is that AI agents are layered over a patented, physics-based engine, which suggests the automation is constrained by engineering rules rather than left to model output alone [SiliconANGLE, October 2026]. If that architecture holds up in production, the edge could be moderately durable because it depends on workflow integration and accumulated design-intelligence data. If, instead, the customer value rests mainly on interface automation and prompt-based generation, the advantage is more perishable because incumbents or adjacent EDA vendors could absorb similar features into broader suites.
Exposure is easier to see than direct rivalry. Circuit Mind does not appear, from the cited sources, to own the underlying ECAD system of record or the distribution channel that incumbent engineering software vendors already control [Yahoo Finance] [SiliconANGLE, October 2026]. That matters because verification and optimization features are often easiest to buy from the platform a team already trusts for daily design work. A second exposure is evidence depth. Several of the strongest performance claims originate with the company or promotional coverage, and the source set does not establish how broad those gains are across customers, products, or design complexity levels [The Next Web, October 2026] [Business Insider, October 2026]. In other words, the bet is legible, but the public benchmark set is still narrow.
The most plausible 18-month scenario is not a winner-take-all shift, but a sorting between tools that can prove reliability inside enterprise hardware workflows and those that remain point solutions. Circuit Mind is a plausible winner if enterprise customers keep rewarding tools that reduce verification burden without requiring teams to replace their existing stack, especially as the company expands in North America following its Norwest-led Series A [The Next Web, October 2026] [Finsmes, October 2026]. The loser if that condition fails is Circuit Mind itself: if incumbent software providers fold similar rule-aware automation into their platforms faster than Circuit Mind can deepen customer proof points, an independent layer for AI-driven circuit design could face compression on both pricing and adoption.
Single-source, plausible -- This section relies on named-publisher coverage and company-descriptive materials for positioning and product scope, but the source set contains no independently verified list of named direct competitors.
Opportunity
Upside case
PUBLIC The prize here is not a better point tool for schematic work, but a credible shot at becoming part of the default software stack for enterprise electronics design, a workflow that still appears slow, error-prone, and expensive enough that even moderate automation can matter at board level [SiliconANGLE, October 2026] [The Next Web, October 2026].
The headline opportunity is straightforward. If Circuit Mind can move from helping engineers generate designs with ACE to also verifying them with AVE, it has a path to owning a larger share of the electronics design loop rather than selling a single feature into it [Business Insider, October 2026] [Yahoo Finance]. That outcome remains conditional, but it is not purely aspirational: the company has disclosed $33.4 million in total funding, closed an $18.5 million Series A led by Norwest in October 2026, and publicly names enterprise users including Emerson and Schneider Electric, which suggests buyers are willing to test the software in real industrial settings rather than only in pilot environments [The Next Web, October 2026] [Finsmes, October 2026] [The AI Journal].
The most credible scale paths are the ones that build on work already visible in the record, namely broader workflow coverage, deeper enterprise adoption, and geographic expansion.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Verification wedge to full-stack adoption | AVE becomes the entry point, then pulls ACE and adjacent workflow modules into the same account | The October 2026 AVE launch gives Circuit Mind a second product surface inside the same engineering org [Business Insider, October 2026] | The company already positions itself around design generation, verification, and optimization rather than a single task, which supports expansion across the workflow [Yahoo Finance] [The Next Web, October 2026] |
| Enterprise standard in high-consequence hardware | A handful of large industrial and regulated-device teams adopt the platform as a repeatable design layer for complex electronics programs | Referenceability from named users such as Emerson and Schneider Electric, plus proof points like the Los Alamos use case [The AI Journal] [Yahoo Finance] | Hardware teams in aircraft, satellites, and surgical robotics have higher cost of error and slower legacy workflows, making cycle-time and respin reduction claims more economically meaningful if validated in production [SiliconANGLE, October 2026] [The Next Web, October 2026] |
| North America expansion with investor-assisted distribution | The planned U.S. headquarters turns a UK-origin product into a broader transatlantic enterprise sales motion | Management said the October 2026 financing would support a U.S. headquarters and North American expansion [The Next Web, October 2026] [SiliconANGLE, October 2026] | The Series A was led by Norwest, and Norwest general partner Dave Zilberman joined the board as part of the deal, which can matter when a company is trying to professionalize U.S. go-to-market from an existing product base [The Next Web, October 2026] [daily.dev] |
The compounding mechanism, if it appears, is likely to come from workflow depth and data feedback rather than consumer-style network effects. Circuit Mind says its software uses a physics-based engine and a proprietary digital-twin data layer, while its two named products span generation and verification [SiliconANGLE, October 2026] [Business Insider, October 2026]. If that architecture improves with each enterprise deployment, the company could accumulate customer-specific design context, validation patterns, and repeatable component knowledge that make the product more useful after each implementation. The early sign that this may be starting is product breadth itself: AVE extends the system beyond design creation into design checking, which can increase switching costs and widen the internal buyer set from individual engineers to team leads and quality owners [Business Insider, October 2026].
The size of the win is hard to benchmark precisely from the public record because no market-sizing source or direct public comparable is provided in the materials here. Even so, the disclosed funding and customer profile support a concrete upside framing: if Circuit Mind becomes a system-of-record layer for enterprise electronics design across a meaningful share of large industrial accounts, the outcome could plausibly support a multi-billion-dollar enterprise value (scenario, not a forecast), because the company would be selling into mission-critical hardware development rather than discretionary productivity spend [The Next Web, October 2026] [Finsmes, October 2026]. That upside rests on one condition above all others: public customer logos and time-saving claims need to convert into repeatable, cross-product deployment inside large engineering organizations.
Single-source, plausible -- Based on named publisher coverage and company-attributed claims, with limited independent public validation of operating outcomes and no cited public market comparable in the provided materials.
Sources
From the public record
[LinkedIn, April 2022] Circuit Mind - Shaping the Future of Electronic Systems | https://www.linkedin.com/pulse/circuit-mind-shaping-future-electronic-systems-benjamin-wolba
[The Next Web, October 2026] Circuit Mind raises $25m to design and check circuit boards with AI | https://thenextweb.com/news/circuit-mind-25m-funding-ai-circuit-board-design
[The Org] Basilio Gentile | https://theorg.com/org/circuit-mind/org-chart/basilio-gentile
[Finsmes, October 2026] Circuit Mind Raises $33M in Total Funding | https://www.finsmes.com/2026/10/circuit-mind-raises-33m-in-total-funding.html
[Entrepreneur First, 2019] Circuit Mind raises seed funding led by Third Prime | https://www.joinef.com/blog/circuit-mind-raises-seed-funding-led-by-third-prime
[Yahoo Finance] Circuit Mind launches AVE, extending its electronic design intelligence platform with AI-powered design verification | https://finance.yahoo.com/news/circuit-mind-launches-ave-extending-130000195.html
[Business Insider, October 2026] Circuit Mind Launches AVE, Extending Its Electronic Design Intelligence Platform with AI-Powered Design Verification | https://markets.businessinsider.com/news/stocks/circuit-mind-launches-ave-extending-its-electronic-design-intelligence-platform-with-ai-powered-design-verification-1036676537
[SiliconANGLE, October 2026] Circuit Mind lands $25M and puts AI agents to work checking circuit board schematics | https://siliconangle.com/2026/10/28/circuit-mind-lands-25m-and-puts-ai-agents-to-work-checking-circuit-board-schematics/
[Electronic Specifier] Tomide Adesanmi, Co-Founder & CEO, Circuit Mind | https://www.electronicspecifier.com/products/artificial-intelligence/qa-with-tomide-adesanmi-co-founder-ceo-circuit-mind
[Forbes, June 2021] Meet 30 Black Founded Startups Selected By Google For Their New $2 Million (£1.5 Million) Black Founders Fund | https://www.forbes.com/sites/tommywilliams1/2021/06/04/meet-30-black-founded-startups-selected-by-google-for-their-new-2-million-15m-black-founders-fund/?sh=341a51e15912
[daily.dev] Circuit Mind raises $18.5M Series A to automate circuit board design | https://app.daily.dev/posts/circuit-mind-raises-18-5m-series-a-to-automate-circuit-board-design--jam6toflc
[Crunchbase] Circuit Mind - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/circuit-mind
[Circuit Mind] Circuit Mind | https://www.circuitmind.io/
[Creative Destruction Lab] Circuit Mind | https://www.creativedestructionlab.com/companies/circuit-mind/
[The AI Journal] Circuit Mind raises $25m to transform electronics engineering with AI | https://aijourn.com/circuit-mind-raises-25m-to-transform-electronics-engineering-with-ai/
Articles about Circuit Mind
- Circuit Mind’s AI Agents Check Schematics for Emerson and Schneider Electric — The London startup, founded by a BAE Systems engineer, uses a physics-based engine to verify designs and prevent costly month-long delays.