How We Built a Design Automation
Platform That Creates Electronic
Circuits in Just 60 Seconds

Quick Overview

Every hardware-driven industry is under pressure to bring products to market faster because customers expect frequent updates, better performance, and rapid improvements - just like software. But the circuits inside them still take weeks to design and are easily disrupted. The pandemic made that clear. VE is helping Circuit Mind solve this by building an instant circuit design platform.

The Foundation Behind
Circuit Mind’s Automation Platform 

Logo Circuit Mind

Circuit Mind (UK)

Circuit Mind tackles the problem of manual circuit design that is slow, complex, and full of back-and-forth work. Backed by investors like Google, ARM, and Join Capital, they are building a system that can create the key parts of a circuit design automatically - diagrams, component choices, and parts lists - so hardware teams can move much faster.


What They Needed

To build this system, Circuit Mind needed a way for the platform to clearly understand every part that could go into a circuit. Each part has its own rules - how it connects, how much power it needs, what it can or can’t do - and all this information is buried inside long, complicated datasheets. For the software to design circuits on its own, this information had to be turned into simple, organized data the system could rely on.

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How VE Helped

Circuit Mind built a specialized team from VE to handle this work. These engineers took thousands of complicated datasheets and converted them into clear, accurate information the software could understand. Using their experience with tools like Altium, OrCAD, and KiCad, they created the data foundation the platform needs to design circuits correctly and quickly.

Reimagining Circuit Design
Amid a Global Chip Crisis 

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The Project

When COVID hit, industries like automotive and aerospace paused production. Chip companies shifted their supply to consumer electronics because that was the only area still growing. But when those industries restarted, there weren’t enough chips to go around. This led to long delays, sold-out parts, and repeated circuit redesigns as engineers struggled to source what they needed.

Circuit Mind wanted to fix this by creating a platform that designs circuits using parts that are actually available and does it in seconds. But for that to work, the platform needed organized, accurate data for every part, far beyond what complicated datasheets provide.

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The Challenge

Circuit Mind needed engineers who could read and interpret every electrical detail in a component, model its behavior correctly, and structure that information so their tool, Commodore, could use it. The work was massive - thousands of parts, each with different datasheets, and zero room for mistakes.

They also needed a team that could scale up or down based on workload, which is difficult with highly specialized roles. Hiring, training, and expanding such a team in the UK would have taken years and cost millions. Circuit Mind needed a partner who could provide skilled engineers on demand, without slowing down their mission to transform hardware design.

A Scalable Engineering Team
to Build the Component Foundation

VE provided the specialized engineering team Circuit Mind needed. Their engineers took on the detailed work of interpreting datasheets, modelling part behavior, and turning each component into structured, reliable design data. What began as a small group led by Himanshu expanded as demand grew, giving Circuit Mind the flexible, on-demand capacity required to build and scale the platform.

How the Library Was Built

App 1

Datasheet Analysis 

Engineers studied component datasheets to capture electrical parameters, pin configurations, and operating modes. Complex parts were explained through live training sessions to reduce first-time errors.

App 2

Encoding in Commodore

Extracted information was entered in Circuit Mind’s proprietary tool, Commodore, using a structured tabular format. This “programming” approach represented electrical behavior in a way the system could interpret.

App 2

Automatic Schematic Generation

Commodore generated a schematic—a digital twin of the physical component. Engineers validated the schematic against the original datasheet before passing it forward.

App 2

Rigorous 3-Stage QA

Automated checks ensured data completeness and formatting, followed by peer review for technical accuracy. Final approval came from the Library Manager to certify client standards and release readiness.

App 2

Release & Integration

Once validated, parts were released into the platform in weekly sprint deliveries. Continuous error logging and client feedback ensured each sprint strengthened the library.

App 1

Agile Sprints

The team worked in weekly sprint cycles, balancing delivery speed with QA depth.

App 2

Daily Standups

Engineers collaborated directly with Circuit Mind’s team, ensuring no gap in requirements.

App 2

Feedback Loops

Errors, edge cases, and software bugs were logged and shared, improving both VE’s process and Circuit Mind’s Commodore tool.

App 2

Scalability

The team grew from 2 engineers to 5 as library demands increased, ensuring throughput without loss of precision.

App 2

Bug Reporting & Software Feedback

VE engineers flagged issues in Commodore, helping refine the tool itself.

App 2

Category Training

For unfamiliar part types, resources underwent targeted training on live components.

App 2

Process Ownership

VE handled quality reporting, tracking metrics for both quantity (parts delivered per sprint) and quality (errors logged during QA).

App 1

Primary Tool

Commodore (Circuit Mind’s proprietary library builder).

App 2

EDA Tools (Team Expertise)

Altium Designer, KiCad, OrCAD, Allegro, Mentor Graphics.

App 2

Simulation Tools

LTspice, PSpice, SIMetrix, Proteus.

App 2

Embedded & Drafting Skills

STM32CubeIDE, Eclipse, AutoCAD, SolidWorks, Fusion 360.

The Result

The Breakthroughs That Made
the 60-Second Design Real

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90% Faster Prototyping

The team cut prototyping cycles from weeks to days, moving from concept to production-ready schematics far sooner.

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8 Weeks to 60 Seconds

Circuit designs now go from architecture to BOMs in under a minute, instead of taking weeks or months.

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Near-Zero QA Failures

Parts are released only after multi-stage review, and any issues that surface in production are tracked and resolved within the next sprint.

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3.5+ Years of Collaboration

A continuous partnership, built on daily stand-ups and weekly reviews, has kept delivery consistent.

The VE Engineers Behind the Library

Himanshu
Himanshu (13+ yrs) Sr. Embedded Systems & Electronic Engineer (Lead)
Specialization
AltiumOrCADKiCadHyperLynx
Contribution

Built the library workflows and validation process that made designs production-ready.

Amanpreet
Amanpreet (8+ yrs) Electronic Engineer
Specialization
PCB draftingAltiumOrCADKiCadEagle
Contribution

Created and validated digital twins, ensuring schematic and layout accuracy.

Mari
Mari (4+ yrs) Electronic Engineer
Specialization
PCB designOrCADAllegroMentor GraphicsHyperLynx check
Contribution

Modeled high-fidelity parts with signal and power integrity validation.

Shivam
Shivam (6+ yrs) Electronic Engineer
Specialization
Circuit designFlybackBuckBoostSPICE simulation
Contribution

Delivered advanced power components and validated them through simulation.

Himanshu
Himanshu (13+ yrs) Sr. Embedded Systems & Electronic Engineer
Specialization
Embedded coding (C)C++Linux
Contribution

Provided embedded-level checks to ensure circuit models aligned with real-world board bring-up conditions.

Mohammed
Muhammed Raashid (6+ yrs) Embedded Systems Engineer
Specialization
Embedded coding (C)PCB draftingFusion 360
Contribution

Linked digital twins to actual embedded behavior, ensuring reliable board implementation.

Circuit Mind and VE —
A 15-Year Vision in Motion

2021

Partnership & Foundations

VE joins as Circuit Mind’s Library Engineering partner to build digital twins from scratch.

Team size: 2 engineers

2022–2024

Scale to Production Speed

VE expands into a 5-engineer pod, delivering thousands of validated components.

Outcome: Enabled 60-second circuit design

2025

Laying the Groundwork for Phase Two

Circuit Mind plans the next phase: transforming the platform into AI-powered electronic design automation.

Goal: Go beyond library creation into intelligent design generation

2026–2035

The Next Decade

VE will scale the team further to power this leap—bringing in more engineers to drive AI model training, part intelligence, and system integration.

Planned commitment: 10+ years of collaboration

The Appreciation That Followed

“Himanshu has been a fantastic asset to Circuit Mind. His skills have improved our product, and his team spirit makes him a true standout. We’re grateful for his contributions.”

Harris Shallcross

Sr. Electronics Engineer, Circuit Mind, UK

David Tan

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