Automotive

Visual AI enables 100% inspection of every chip in your vehicle

Utilize the most effective way to detect and eliminate hidden defects before they become dangerous failures

Making Cars Safer

As vehicles become more digital, the reliability of electronic components directly impacts driver safety. Yet, the automotive industry still lacks sufficient tools to catch faulty chips before they’re built into the vehicle—where defects require full board scrapping, not repair. By implementing robust visual AI inspection and real-time removal of defect components, automakers can significantly improve product reliability and productivity with surgical precision, reduce the risk of quality issues, and better protect their customers and their bottom lines.

CarsSafer

Case Studies

See how leading manufacturers use Cybord to strengthen product integrity, traceability, and supply chain security — at scale.

Group 203021 1a
How a Tier 1 Automotive Supplier Resolved Hidden Component Placement Issues
Avoiding a $9M Mistake: A Case for Proactive Traceability
Group 203021 1b
Preventing a Critical Component Mismatch - EV Manufacturer

FAQ

Does Cybord require any additional HW?

How is the data collected during inspection stored (e.g., cloud, local server, hybrid)?

What types of data can your platform collect?

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Scholarly Articles

Advancements in Electronic Component Assembly: Real-Time AI-Driven Inspection Techniques | Eyal Weiss

ISO 26262 Compliance in Automotive Electronics: Ensuring Functional Safety with Advanced Component Inspection

The Hidden Risk: Ensuring Safer Vehicles with Visual AI

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