Hive Lab, a next-generation customer experience (CX)-based AI-Tech company, announced on the 13th that it has signed a three-party strategic partnership with Jeil Gold Exchange (Jeil Gold Exchange) and Professor Song Oh-seong's team from the Department of New Materials Engineering at Seoul City University for the 'joint development of an AI-based Korean-style fake gold detection platform.'
This partnership aims to address consumer distrust and declining field reliability caused by the rise of intelligent counterfeit gold from China. It will develop an integrated verification solution that utilizes multi-sensors and AI to detect counterfeit gold without the need for expensive equipment. The platform will feature a multimodal verification system encompassing primary screening, secondary verification, and supporting reports, aiming to enhance the reliability of the physical gold market while also creating new revenue models.
Hive Lab collects, integrates, and analyzes sensor data, building AI-based identification models. The collected data includes high-resolution images, sample metadata, shape and size analysis methods, and fake gold inference models. The company is also developing AI protocols for field application.
The Korea Gold Exchange will build learning data and serve as a testbed through scientific analysis using XRF and ECT equipment and the collection of various samples. Professor Song Oh-seong's team at Seoul City University will support the refinement and advancement of AI learning models through the production of fake gold standard samples and quantitative analysis.
Hive Lab CEO Seo Jong-hyeok stated, “Through this partnership, we expect to be able to present a Korean-style AI-based counterfeit gold identification standard to the traditional gold trading market, and we will do our best to secure technological leadership in the industry through three-party cooperation.”
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