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AI-Powered Electronics Authentication: Cybord’s Visual Solution Ensures Component Quality and Traceability

Cybord’s machine learning model, powered by a vast database of over four billion components, represents the pinnacle of AI in electronics manufacturing.

Cybord

Oshri Cohen CEO Cybord (Linkedin)

Cybord is an Israeli startup that develops a visual AI solution ensuring electronic component quality, authenticity, and traceability. The firm raised $8.7 million in Series A funding led by Capri Ventures.

Founded in 2018 by CTO Eyal Weiss. Cybord’s software solutions monitor placements on SMT lines in real time and eliminates use of nonconforming electronic components during product assembly, while arming OEMs and EMSs with a new level of visibility and traceability.

Using AI and big data, Cybord’s technology detects counterfeit, defective and tampered components, including hardware-based cyber security threats. Component defects are addressed during placement and before reflow, thus simplifying rework and improving product reliability. By integrating with MES systems, nonconforming material is placed on quarantine and prevented from use.

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Cybord, leveraging deep learning and AI, offers a comprehensive solution for inspecting electronic components on PCBs. By analyzing 100% of components, Cybord addresses a critical industry challenge: ensuring electronic component quality. This is crucial to preventing product damage, maintaining consumer trust, and protecting manufacturers’ bottom lines. The industry has long overlooked electronic component quality and security, leading to a surge in defects and costly recalls, reaching a seven-year peak in 2023. These issues result in time-consuming rework, scrapped products, excessive capital allocation for warranty claims, and costly recalls that can cost millions or even billions of dollars in lost profits.

Cybord’s machine learning model, powered by a vast database of over four billion components, represents the pinnacle of AI in electronics manufacturing. As components move along the assembly line, Cybord’s visual AI solution instantly detects and prevents defective, damaged, or counterfeit components from being assembled onto PCBs with remarkable 99.9% accuracy. By ensuring component quality, authenticity, and forensic traceability, Cybord provides EMSs and OEMs with unparalleled reliability and visibility. This leads to higher-quality electronic products, improved manufacturing efficiency, reduced costs, and a significant reduction in recalls.

“We are honored to have secured this round of financing from trusted partners and investors who understand the necessity of the Cybord mission,” said Oshri Cohen, CEO of Cybord. “With a variety of industries increasingly dependent on electronic components, it has never been more important to ensure that they are of the highest quality. The Cybord solution has been validated time and time again by our leading global partners, and these funds will allow us to scale faster and bring our comprehensive AI-powered solution to more companies worldwide, delivering on our mission to ensure only the best electronic products.”

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