The short version: In the last week of October 2026, two companies pushed AI deeper into electronics design. London-based Circuit Mind launched AVE, a set of AI agents that check printed circuit board schematics against component datasheets and a company’s own review checklist, and raised $25 million. A day earlier, Lattice Semiconductor released Lattice Prompt, an AI assistant for FPGA design. Both target the slow, manual steps that cause board respins.
The problem they are going after
Every part on a board comes with a datasheet, often hundreds of pages long, and no two manufacturers format them the same way. Engineers still read these by hand, pick hundreds of components, run the electrical calculations and apply design rules. One missed note on a pin or a wrong voltage limit often does not show up until build and test, months later, as a respin that pushes the whole schedule back.
What Circuit Mind’s AVE does
- Reviews existing schematics. AVE, short for Agentic Verification Engine, is built for the design review gate, including schematics drawn by hand in a normal ECAD tool.
- Splits the work across agents. Some agents read datasheets and application notes, checking pin tables, operating voltages and other limits. Others trace every connection and bus in the circuit.
- Uses the company’s own rules. Checks run against each organization’s design review checklist, not just generic rules.
- Checks its own work. Before anything reaches the engineer, AVE runs a second pass that critiques each finding, so only issues that hold up are reported.
AVE sits alongside Circuit Mind’s first product, ACE, which takes a block diagram and generates a full schematic, bill of materials and supporting calculations, with several options to compare. Designs export into the ECAD tools teams already use. The company combines language models with its own physics-based design algorithms and a structured model of component data, because a general chatbot on its own is not reliable enough when “almost right” means months of delay.
Early results
Circuit Mind points to a peer-reviewed case study in which the space electronics team at Los Alamos National Laboratory cut one design’s timeline by more than 90%. A hardware engineering director at Emerson’s process systems business said the tools helped his team move faster from architecture to schematic while improving review coverage. The new $25 million will go toward design analysis, reporting, testing and firmware.
Lattice brings AI to FPGA work
On October 27, Lattice Semiconductor introduced Lattice Prompt for its small and mid-range FPGAs. It connects an engineer’s preferred AI model and coding environment to Lattice’s design software, documentation, datasheets and knowledge base through the open Model Context Protocol, and runs Lattice’s Radiant tools in the background. The goal is the same: let engineers describe what they want in plain language and spend less time digging through manuals and reports.
Who should pay attention
Hardware teams at industrial, medical device, aerospace and defense companies, and anyone running a design review process for boards. Industrial automation makers like Emerson are already using these tools, which tells you this is not just a startup or consumer-electronics trend.
The catch
An AI reviewer that catches more errors is only useful if engineers trust it, and trust comes from understanding why it flagged something. Teams will still need people who know the parts, the physics and the product well enough to tell a real problem from a false alarm, and to catch what the tool missed.
What it means for hiring
AI shortens schematic capture and review, which puts more weight on the engineers who set the architecture and sign off the design.
- Senior hardware engineers who can judge an AI’s findings, and explain why one matters, become the bottleneck worth paying for.
- Engineers who write good design review checklists add value twice: their rules now run automatically on every board.
- Test, bring-up and firmware skills stay hands-on. Faster design cycles mean more boards reaching the bench.
Hiring hardware engineers? See our electrical engineering recruiters and medical device engineering recruiters pages.
Interview questions for hardware engineers
- Tell me about a respin you were part of. What was missed, and how would you catch it earlier now?
- If an AI review tool flagged 40 issues on your schematic, how would you decide which ones are real?
- What is on your personal design review checklist that is not in most company checklists?
- How do you choose between two parts that both meet the spec?
Frequently asked questions
Can AI check a PCB schematic?
Yes. Tools like Circuit Mind’s AVE compare schematics against component datasheets, application notes and a company’s own review rules, and report likely errors for an engineer to confirm.
What is a board respin?
A respin is a new revision of a circuit board made to fix a mistake found after the board was built. Each one costs money and usually weeks or months of schedule.
Will AI replace hardware engineers?
Unlikely. These tools take on reading, checking and first drafts. Architecture, trade-offs, bring-up and sign-off still need experienced engineers.
More stories like this are on our AI for Engineers hub.
