Case Study: Cybord achieves AI-powered counterfeit detection and component traceability with Go Wombat

Cybord processes a few million images a day with Go Wombat

Cybord faced the challenge of counterfeit and defective electronic components entering their manufacturing process from dishonest suppliers, which damaged final products and took months to trace. To address this, they engaged GoWombat to develop an AI and machine learning solution to quickly detect and prevent the use of these faulty components, ensuring product integrity.

GoWombat developed an AI-powered system using advanced neural networks to scan, recognize, and assess components for defects before they enter the production line. The solution provides Cybord's clients with complete component traceability and a comprehensive dashboard for oversight. The result is a significant improvement in manufacturing efficiency and product reliability, with the system now processing millions of images daily to enhance cybersecurity and prevent defects.

Cybord