‘AI soccer training solution company’ Galloping, the Seoul Football Association with the Seoul Football Association to support youth soccer growth

(Best Eleven)
Gallopping (CEO Lee Lee -kyung), a developing and operating AI -based soccer training solution, has signed an MOU with the Seoul Football Association (Chairman Jeong Jin -seol) to support the growth and environmental improvement of youth soccer players.
The agreement was designed to support technology improvement and systematic player growth by combining AI technology into youth soccer fields. Through this agreement, the two organizations will cooperate with the aim of consulting with AI -based measurement services and management programs, information exchange for youth soccer field information, and joint operation of pilot programs.
In particular, the AI -based measurement technology developed by Galloping is the strength of quantifying the technical data of the player individual. The Seoul Football Association will cooperate so that these technologies can be introduced naturally in the field, and will strengthen the data -based training system by sharing the needs and directions of youth soccer field with galloping.
In addition, the two organizations will jointly plan and operate small -scale events and pilot programs for youth athletes and leaders. This is to increase the possibility of actual field application and to provide a program that actually helps athletes’ growth.
Galopping Son Lee -kyung said, “It can be a new standard for youth soccer to quantify the growth of individual players through AI technology and to establish a training strategy.”
Chung Jin -seol, chairman of the Seoul Football Association, also said, “Fostering youth athletes is the future of Seoul football and the basis of Korean football.”
The Galloping and the Seoul Football Association plans to lead the creation of a new youth soccer ecosystem that harmonizes technology and administration with this agreement.
Written by Lim Ki -hwan (lkh3234@soccerbest11.co.kr)
Photo = Gallopping
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