Counterfeit electronic components pose a significant threat to the manufacturing industry, leading to product failures, recalls, and financial losses. Cybord, an Israeli AI startup, is tackling this problem with computer vision algorithms designed to identify counterfeit parts before they are assembled into products.
Cybord's AI-driven visual solutions are deployed in the electronic component supply chain to ensure quality, authenticity, and traceability.
By leveraging AI for quality control, Cybord aims to improve manufacturing efficiency and reduce production costs.
Cybord recently raised $8.7 million in Series A funding, led by Capri Ventures. This funding will be used to accelerate growth and expand the company's global footprint.
Cybord is committed to ensuring the highest quality electronic products reach the market by providing an innovative solution for counterfeit component detection.
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