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In the CADY AI Schematic Review
CADY AI Schematic Review is an AI-powered SaaS platform that elevates electrical schematic validation beyond traditional design rule checks (DRC). By leveraging advanced NLP, computer vision, and a comprehensive components database, CADY analyses uploaded netlist + BOM files against component datasheets—detecting logical inconsistencies, missing connections, voltage violations, and more within minutes .
What Problems Does CADY Solve?
Creating error-free schematics is increasingly complex. Manual reviews often miss subtle mistakes—like parts not meeting voltage specs, missing pull-up resistors, or capacitor value issues—that trigger costly PCB re-spins or product failures . CADY addresses these challenges by automating error detection early in the design process to:
- Reduce respin risks and associated overhead
- Shorten time to market
- Improve reliability and safety of final products
Key Capabilities of CADY AI Schematic Review
- Instant error analysis: Users drag and drop netlist and BOM files—no setup required. CADY parses datasheets for each component and builds relationships in a formal language framework .
- Deep design checks: Scans connections, voltage mappings, protocol integrity (I²C, UART, USB), operating limits (voltage, current, temperature), component-specific instructions like exposed pad grounding, and more .
- Best practice recommendations: Offers suggestions such as adding decoupling capacitors or pull-up resistors based on community knowledge and component guidance .
- High accuracy with transparency: Upwards of 80% of flagged issues are accurate, with >65% of projects having at least one “Need to Fix” finding; false positives are easy to skip with clear datasheet references .
- Security-first approach: Uploaded designs are automatically purged after analysis. All data is encrypted in transit and at rest, ensuring confidentiality and compliance .
Real-World Impact
- Aerospace Client Use Case: CADY found two critical errors late in design that would have triggered a respin. Triage based on the provided report helped the company avoid wasted iteration .
- WINT Case Study: CADY detected a capacitor with insufficient rated voltage, prompting replacement before deployment—avoiding potential failure .
Enhanced Insights Through Partnership
In 2025, CADY partnered with SiliconExpert to embed real-time component intelligence—such as obsolescence, compliance, and sourcing data—directly into schematic reviews. This reduces operational risk and improves component-level decision-making within design workflows.
Register your interest
In the CADY AI Schematic Review