Traceformer: LLM-powered PCB schematic checker for KiCad and Altium projects.

What it does

Traceformer is a web application that checks PCB schematics for design errors by combining LLM analysis with component datasheets. Users upload KiCad projects via a plugin or Altium Designer netlists via an export script. The system automatically retrieves datasheets for components, then runs an AI review that flags issues a traditional electrical rule check would miss—things like incorrect pin assignments, voltage incompatibilities, or missing required connections based on datasheet specifications. Each finding cites the specific datasheet page as evidence.

Who it is for

The tool targets hardware engineers and PCB designers using KiCad or Altium Designer. It serves individual hobbyists through team environments, with separate plans scaling from personal projects up to organizations needing workspace management and audit controls.

Pricing

Free tier offers one review per month with limits of 200 components and 10 datasheets. Starter plan costs $20 per month with $20 of monthly credits, up to 200 components, and 20 datasheets per review. Team plan is $50 per seat per month with $50 monthly credits per seat, supports up to 1,000 components and 100 datasheets per review, and pools credits at workspace level. Enterprise pricing is custom. The site uses a pass-through API pricing model with a platform fee; users can preview exact per-review costs before launching a check.

How it stands out

Traceformer focuses on datasheet-driven issues rather than basic connectivity errors. Traditional ERC and DRC tools catch electrical rule violations; this tool catches application-level mismatches by reading component documentation. The system includes safeguards against hallucination—findings that cannot cite datasheet evidence are flagged as "Missing Info" rather than reported as verified issues. The tool also offers component-level scoping, letting users review only relevant subsystems to control costs.

What a founder should check

A competitor should verify how deeply entrenched the KiCad and Altium ecosystems are with existing design review workflows. Second, understand switching costs: whether teams already rely on simulation tools, manual datasheet review, or other AI-assisted design checkers, and how hard it would be to replace those. Third, examine the moat: whether the advantage lies in datasheet retrieval accuracy, model quality, hallucination prevention, or integration depth—and whether incumbents in EDA tooling or AI could replicate this faster.

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