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support@nextpcb.comEvery experienced PCB engineer has a story about a design that looked perfect on screen — until a board came back from fabrication with a silent error buried in the schematic. A mismatched component parameter. A floating net no one caught. A pinout swapped under pressure during a late-night revision. These aren't failures of skill; they're failures of bandwidth. Human attention has limits. AI doesn't.
Design Validator — NextPCB's AI-powered schematic analysis platform — was built around this exact problem. Rather than replacing the engineer's judgment, it eliminates the gruntwork: systematic, exhaustive cross-checking that machines handle far better than people.
Schematic review is one of those tasks that feels done long before it actually is. An engineer scans through the design, cross-references a few critical nets, checks the power rails — and declares it clean. Two weeks later, assembled boards sit idle because a decoupling cap was placed on the wrong voltage rail, or a microcontroller's reset line was left unconnected.
The root cause isn't carelessness. It's that comprehensive review requires holding an enormous amount of context simultaneously: component datasheets, design specs, layout constraints, power budgets, and manufacturing rules — all at once, across potentially hundreds of symbols. No individual can do this reliably under deadline pressure. Even structured peer reviews miss things, because two engineers share the same blind spots.
"The question isn't whether AI-assisted review is worth doing. It's why it took this long to arrive."
At its core, Design Validator functions as an autonomous review agent. Upload your schematic, and the system conducts a multi-layered analysis across three interdependent areas:
Identifies structural faults like unconnected pins, overlapping nets, and power violations. Evaluates errors in context, distinguishing between intentional choices and genuine missing connections.
Cross-references placed components against specified parameters (voltage, current, temp limits) to flag discrepancies between your BOM and actual design demands.
Automatically applies industry standards and manufacturing guidelines to check if your design meets production requirements before you commit to fabrication.
The output is a structured report — not a raw log of cryptic codes, but human-readable findings organized by severity, with each issue linked to the relevant schematic location and accompanied by suggested corrective action.
Most EDA tools ship with built-in Electrical Rules Check (ERC) functionality. Why use something like Design Validator on top of that?
| Capability | Traditional ERC | Design Validator (AI) |
|---|---|---|
| Detects unconnected pins | Yes | Yes |
| Context-aware error filtering | Rule-based only | Intent-aware |
| Component parameter mismatch | No | Yes |
| Spec & standard compliance | Limited | Yes |
| Natural-language recommendations | Error codes only | Yes |
| Works across EDA platforms | Tool-specific | Platform-agnostic |
Traditional ERC is a syntax checker. It tells you if you broke the rules of your schematic editor. Design Validator works more like a senior reviewer — it understands what you're trying to build and evaluates whether the schematic achieves it reliably.
The tool is deliberately lightweight to adopt. There's no plugin to install, no EDA-specific configuration, and no team-wide process overhaul required. Here's how a typical review cycle looks:
For teams new to the tool, the platform also offers sample reports — accessible directly from the homepage — so you can evaluate the output quality before submitting your own designs.
Design Validator operates on a subscription model structured around monthly verification task quotas. Paid plans add to — rather than replace — the free base allocation.
12 design review tasks per month. Full access to the AI agent. Best for evaluation.
+50 tasks per month. Designed for active designers running frequent iteration cycles.
+500 tasks per month. Built for small teams with high verification throughput.
Note: Subscription charges are currently not reflected in your NextPCB order history. Keep your payment confirmation email for reference. For billing questions, reach out to support@nextpcb.com.
Working without a peer review partner is the norm for independent engineers. Design Validator fills that gap — functioning as a tireless, systematic co-reviewer that checks everything you might rush past at the end of a project sprint.
In fast-moving product development environments, formal design review meetings are expensive in both time and coordination overhead. Running AI verification before any human review session means the team's attention goes to strategic design decisions — not catching forgotten decoupling caps.
Switching tools — or collaborating with partners using a different EDA suite — often means losing the institutional ERC rule sets you've built up over time. Design Validator's platform-agnostic approach means consistent verification quality regardless of which toolchain produced the schematic.
The AI report is itself a learning resource. Seeing exactly where a design deviates from best practice — with an explanation of why it matters — accelerates competency development in ways that textbooks alone cannot.
Whether you're taping out a commercial product or building a personal project, the 12-task free tier provides enough capacity to experience what AI-driven schematic review actually looks like on your own work. The upgrade decision tends to make itself.
Still, need help? Contact Us: support@nextpcb.com
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