FitTogether, 2025 MBN Seoul Marathon AI Learning Coach Successful Compensation
Nov 19, 2025
Fruitment of R&D supported by the Ministry of Culture, Sports and Tourism and the Korea Creative Content Agency, First Market Test 'Successful'
Sports AI technology company Fitogether announced that it successfully completed the 'AI Learning Analysis Coach' service for participants at the '2025 MBN Seoul Marathon' held on the 16th with enthusiastic responses from participants.
This event was the first time that FitTogether introduced AI learning analysis technology developed through the support of the Ministry of Culture, Sports and Tourism and the Korea Creative Content Agency for the improvement of marathon performance. Immediately after completing the race, the participants received a report that precisely analyzed their running and expressed great satisfaction.
The most surprising point of the participants was the clear difference from the existing smart watch. Unlike smart watches, which show how "how much" they ran (result), FitTogether's AI coach suggested why 'why' came to such a result (cause) and how they should run 'how'.
After finishing the race, one participant said, "I only checked the face and distance with my smart watch, and it's amazing to see the data that my left and right balance collapsed and my upper body shook from the 15km point. I vaguely blamed my physical strength as the cause of the record congestion, and it's amazing to know the exact cause."," he said.
FitTogether optimized the world-class EPTS (Electronic Performance Tracking System) technology, which was selected as a FIFA Preferred Provider (FPP) by FIFA, for learning analysis. The system diagnosed the 'Quality' of learning by integrating and analyzing three key indicators: ▲form stability ▲internal load ▲ body fatigue ▲ performance output over the entire race section of the participants.
The AI-based customized learning report, which was immediately available to participants on mobile, included both a 'quantitative (grade)' diagnosis and a 'quantitative (rate of change)' criterion. In particular, concrete and actionable AI feedback such as "Second half upper body fixation training required" and "Cadence 170 retention effort" seems to have been provided with "1:1 coaching" received a review. Participants actively shared analysis report images on their SNS and shared special experiences.
Yoon Jin-sung, CEO of FitTogether, said "I was able to confirm on the spot how thirsty the participants were for information on how to run "How""I'm happy to lead a culture that runs smarter based on my data, beyond just knowing how much 'I've run." Based on this successful experience, we will provide a more in-depth analysis to more runners, setting a new standard for smart learning."
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This event was the first time that FitTogether introduced AI learning analysis technology developed through the support of the Ministry of Culture, Sports and Tourism and the Korea Creative Content Agency for the improvement of marathon performance. Immediately after completing the race, the participants received a report that precisely analyzed their running and expressed great satisfaction.
The most surprising point of the participants was the clear difference from the existing smart watch. Unlike smart watches, which show how "how much" they ran (result), FitTogether's AI coach suggested why 'why' came to such a result (cause) and how they should run 'how'.
After finishing the race, one participant said, "I only checked the face and distance with my smart watch, and it's amazing to see the data that my left and right balance collapsed and my upper body shook from the 15km point. I vaguely blamed my physical strength as the cause of the record congestion, and it's amazing to know the exact cause."," he said.
FitTogether optimized the world-class EPTS (Electronic Performance Tracking System) technology, which was selected as a FIFA Preferred Provider (FPP) by FIFA, for learning analysis. The system diagnosed the 'Quality' of learning by integrating and analyzing three key indicators: ▲form stability ▲internal load ▲ body fatigue ▲ performance output over the entire race section of the participants.
The AI-based customized learning report, which was immediately available to participants on mobile, included both a 'quantitative (grade)' diagnosis and a 'quantitative (rate of change)' criterion. In particular, concrete and actionable AI feedback such as "Second half upper body fixation training required" and "Cadence 170 retention effort" seems to have been provided with "1:1 coaching" received a review. Participants actively shared analysis report images on their SNS and shared special experiences.
Yoon Jin-sung, CEO of FitTogether, said "I was able to confirm on the spot how thirsty the participants were for information on how to run "How""I'm happy to lead a culture that runs smarter based on my data, beyond just knowing how much 'I've run." Based on this successful experience, we will provide a more in-depth analysis to more runners, setting a new standard for smart learning."
This article was translated by Naver AI translator.
