Circuit Mind
A London startup combining agentic AI, physics-based models and component data to speed up electronics engineering.
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Podcast Episode
🎙️ Deep Dive
Hyperexponential, Circuit Mind, Easol — $1.7B for insurtech, $25M for AI circuit design and $30M for event agents — Daily News October 28, 2026
Listen to the episodeAbout Circuit Mind
Founded in London in 2018 by Tomide Adesanmi (CEO) and Basilio Gentile (CTO), Circuit Mind develops an electronic design intelligence platform that integrates with ECAD environments. ACE generates a schematic, bill of materials and analysis from a block diagram, proposing options optimised for cost, size, power or component availability; AVE, launched with the announcement, uses AI agents to verify designs against datasheets and internal design rules. Named customers include Emerson, Schneider Electric and Fortune 5 companies; in a case study, Los Alamos National Laboratory engineers completed in four hours a design that would have taken two weeks. On October 28, 2026 it announced $25 million in new financing: an $18.5 million Series A led by Norwest, with Third Prime, Differential, Blackhorn and Lightscape VC, and a previously unannounced seed round led by Third Prime, bringing total funding to $33.4 million. The funds will also establish a US headquarters.
The Story
Incorporated in London in May 2018 by Tomide Adesanmi and Basilio Gentile.
How Circuit Mind works
Business Model
B2B software platform for electronics engineering teams; pricing is not public.
Products & Services
Key Products
- ACE (Assistant to Circuit Engineers)
- AVE (Agentic Verification Engine)
Core Use Cases
- Electronic schematic generation
- Bill-of-materials optimisation
- Verification against datasheets
- Design-rule checking
Market & Clients
Key Customers
Electronics engineering teams at large companies, including Emerson, Schneider Electric and Fortune 5 companies.
Geographic Presence
How Circuit Mind competes
Competitive Advantages
- Physics-based decision engine
- Structured component data
- Integration with ECAD and customer rules
How Circuit Mind grows
Growth Strategy
Extend the platform across the design lifecycle, hire in sales, engineering and customer success, and open a US headquarters.
Distribution Model
Direct enterprise sales and integration with existing engineering tools.
Moat (Defensibility)
Physics models, structured component data and customer-specific engineering context.
Regulatory Context
Designs for aerospace, defence and industrial uses must meet sector-specific technical and certification standards.
Key Risks
- Liability for design errors
- Validation across components and standards
- Long adoption cycles
- Dependence on technical data quality
Strategic Insights
- Combining AI with physics models reduces plausible but electrically invalid outputs.
- A US headquarters targets the North American hardware-engineering market.
Funding & Investors
Total Funding
Funding Rounds
- - Seed:
Lead: Third Prime - 2026 - Series A: $18,5M
Lead: Norwest
Key Investors
Founding Team
Founders
Key Metrics
Lessons from Circuit Mind
- Technical workflows require structured and verifiable data foundations.
- Presenting financing tranches separately avoids overstating the Series A size.
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Read AnalysisSources
- Circuit Mind Announces $25M in Funding to Accelerate the Rise of Electronic Design Intelligence — Circuit Mind / GlobeNewswire
- Circuit Mind raises $25m to design circuit boards with AI — The Next Web
- Companies House — CIRCUIT MIND LIMITED (11389569) — Companies House