Chinese Industrial AI Firm GT AI Completes Round-C Financing Led by GS Capital
GT AI announced Monday that it has obtained several hundred million yuan in C-round financing. The lead investor was GS Capital, while existing shareholders Qualcomm Ventures and Broad Vision Funds also contributed.
Founded in 2018, GT AI is an industrial AI enterprise focusing on quality control in the high-end manufacturing field. It has completed seven rounds of financing over the past four years.
GT AI takes aim at the field of AI machine vision, empowering firms in the traditional manufacturing industry with AI vision technology to replace traditional manual visual inspection. To this end, GT AI builds on its core AI technology to create a unique “Technology, Product, Solution” structure.
The company’s products range from analysis and detection of complex subtle appearance features of objects, made from various materials and in complex scenarios. They also involve recognition and tracking of human behavior, posture and facial recognition within industrial scenarios, along with products that analyze and mine structural data to determine known events and give actions in response. Presently, all three of these products are commercially available at a high volume.
GT AI’s CEO, Zhu Lei, remarked that with the high-end circuit board field as the entry point, its AI manufacturing product system has expanded across the industry chain to the pan-semiconductor and new energy fields, with further plans to expand coverage of the inspection process. The system has been recognized by leading industry players and top companies in the sector.
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Managing partner of GS Capital Gu Ru said that GT AI, with AI robotics and pivot systems as the core, has covered the whole process of high-end circuit boards. Gu said that the firm has gained the trust of the world’s leading customers in various sectors within the high-end circuit board industry through the intelligent monitoring of FPC process line operations, monitoring of FPC SMT whole process equipment and its defect and yield management system.