Co-founder/CEO
Circuit Mind
Circuit Mind provides an AI-powered electronic design intelligence platform that automates the generation, verification, and optimization of circuit schematics and component selection. The platform integrates with existing ECAD tools like OrCAD and System Capture, and is validated by Los Alamos National Laboratory in a peer-reviewed study.
- Artificial Intelligence
- AI Agents
- Software Only
- Developer Tools
- Hardware
Updated 7 days ago
Funding
Raised to date
$33.4MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
$25M across 2 disclosed rounds
+3$6.5M · Seed
Announced Oct 2026 · from article date
Disclosed cumulative: $25M
2/2
Reported total $33.4M
Incomplete round history. $8.4M of the $33.4M reported total isn’t matched to a known round.
RoundDateAmountValuationInvestors
Founders
Product
Problem
Electronic engineering teams face time-consuming and error-prone manual processes when designing circuit schematics and selecting components. Iterating on designs based on changing requirements and ensuring optimization for cost, size, and performance adds further complexity and delays.
Solution
Circuit Mind offers an AI-powered platform that automates the generation, verification, and optimization of electronic circuit designs. By inputting architectural diagrams and requirements, engineering teams can rapidly generate candidate schematics, verify existing designs for errors that standard design-rule checks miss, and optimize for cost, power, size, and performance. The platform uses agentic AI and deterministic, physics-based algorithms to make thousands of interdependent design decisions, grounded in a proprietary database of component digital twins. It works within the ECAD tools teams already use, generating usable designs that adhere to each customer's approved parts, libraries, design rules, and review checklists. The platform is validated by Los Alamos National Laboratory in a peer-reviewed study and trusted by hardware teams at BAE Systems, Legrand, and Emerson.
Target Audience
The primary target audience includes electronic engineering teams, hardware engineers, and companies involved in electronic design and development, particularly those in defense, industrial automation, and OEM manufacturing sectors.
Features
- AI-driven component selection and schematic generation from block diagrams and requirements
- Automated design verification using agentic AI to catch errors that pass standard design-rule checks
- Multi-objective optimization for cost, power, board size, and performance targets
- Proprietary database of electronic component digital twins that captures datasheet information in a structured, machine-readable form
- Patented physics-based algorithms that prove circuit correctness during the design solve
- Integration with OrCAD and System Capture, plus PLM systems for seamless workflow continuity
- Generation of cost-optimized Bills of Materials (BOMs), engineering documentation, and ECAD library files
- Support for customer-specific approved manufacturer lists, preferred components, symbol/footprint libraries, and design rules