"Will My Current Training Really Get Me to My Goal?" — An Exercise Physiology Researcher Releases TriGo, an AI Triathlon Coach App That Answers That Anxiety
Triathlead Inc. has released "TriGo," an AI triathlon coaching app based on exercise physiology, on the App Store. Developed by the company's representative, an active triathlete and exercise physiology researcher, it provides training plans and race simulations optimized for individual physical abilities and goals.
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- 📰 Published: April 14, 2026 at 19:30
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You don't know what training is right for you. You're not confident that what you're doing now will lead to results. Even if you ask AI, you only get general advice.
Triathlead Inc. (Headquarters: Chuo-ku, Tokyo; Representative: Yujiro Tsutsumi) has released the AI triathlon coach app "TriGo" (pronounced: Try-Go) on the App Store. This app was developed by the representative himself, an active triathlete and a researcher studying exercise physiology in a doctoral program. To commemorate the release, all features will be available for free for the time being. An Android version is also scheduled for release soon.
App Store download: https://apps.apple.com/app/id6760471162
Seven expert coaches fully support your triathlon life, including creating training plans, managing progress, providing feedback on workouts, advising on race pacing and nutrition strategies, acquiring knowledge, and fitness tests, all to help users achieve their goals.
Development Background — The Problem of Not Having a "Personal Coach"
Triathlon is a comprehensive sport consisting of three disciplines: swimming, cycling, and running, and effective training requires advanced specialized knowledge. The triathlon population in Japan is estimated to be over 300,000. However, many citizen athletes (age groupers) find it difficult to have a dedicated coach and currently rely on self-taught training.
Increasing training volume but hitting a plateau in records. Unable to perform as expected in the actual race. No one to confirm whether current training is correct. Even when consulting general AI, it's impossible to get pinpoint advice based on one's own physical condition — many athletes face these concerns.
TriGo was born to solve this problem with "Exercise Physiology × AI." The developer, Yujiro Tsutsumi, is an active triathlete who competes in Ironman races and a researcher specializing in exercise physiology in a doctoral program. Research insights on physiological indicators such as VO2max (maximum oxygen uptake = the body's "engine performance"), lactate threshold (LT = the "limit line" of performance), and running economy (RE = "fuel efficiency" of running) are directly reflected in TriGo's algorithm.
Yujiro Tsutsumi, the developer. A scene from a VO2max measurement in a university laboratory.
"I want to deliver a coach who deeply understands your body and gives pinpoint advice to all triathletes" — TriGo was born from this desire.
Finish line scene at the Ironman World Championship.
Feedback from Test Users
We have received a lot of positive feedback since the pre-release testing phase. What has been particularly praised is the "pinpoint advice tailored to one's own condition," which differs from general AI, the insights gained from coach feedback after training, and the addictive app experience described as "the more you see it, the more fun it is." We have also received comments like "I introduced it to my friends" and reports that training behavior itself has changed.
Main Features of TriGo
1. Personalized Training Based on Exercise Physiology
The biggest feature of TriGo is that it places exercise physiology indicators at the core of its algorithm. Unlike general template-based training apps, it automatically generates training plans optimized for individual physical abilities and race goals, based on users' physiological data such such as VO2max, lactate threshold, and running economy.
The volume, intensity, and frequency of training are all designed based on scientific evidence. Through periodization calculated backward from the race day, it provides the optimal process for achieving goals.
2. Simulation Function That Answers "Will I Reach My Goal If I Continue Training Like This?"
One of TriGo's notable features is its race performance simulation. It visualizes what kind of time can be expected on race day if the current training plan is continued, based on physiological indicators.
"Will I make it in time for the target race?" "Is my current training volume sufficient?" — AI provides data-driven prospects for these anxieties. Being able to confirm the validity of the plan in advance helps maintain motivation and optimize the plan.
When setting a target race, the user...
Triathlead Inc. (Headquarters: Chuo-ku, Tokyo; Representative: Yujiro Tsutsumi) has released the AI triathlon coach app "TriGo" (pronounced: Try-Go) on the App Store. This app was developed by the representative himself, an active triathlete and a researcher studying exercise physiology in a doctoral program. To commemorate the release, all features will be available for free for the time being. An Android version is also scheduled for release soon.
App Store download: https://apps.apple.com/app/id6760471162
Seven expert coaches fully support your triathlon life, including creating training plans, managing progress, providing feedback on workouts, advising on race pacing and nutrition strategies, acquiring knowledge, and fitness tests, all to help users achieve their goals.
Development Background — The Problem of Not Having a "Personal Coach"
Triathlon is a comprehensive sport consisting of three disciplines: swimming, cycling, and running, and effective training requires advanced specialized knowledge. The triathlon population in Japan is estimated to be over 300,000. However, many citizen athletes (age groupers) find it difficult to have a dedicated coach and currently rely on self-taught training.
Increasing training volume but hitting a plateau in records. Unable to perform as expected in the actual race. No one to confirm whether current training is correct. Even when consulting general AI, it's impossible to get pinpoint advice based on one's own physical condition — many athletes face these concerns.
TriGo was born to solve this problem with "Exercise Physiology × AI." The developer, Yujiro Tsutsumi, is an active triathlete who competes in Ironman races and a researcher specializing in exercise physiology in a doctoral program. Research insights on physiological indicators such as VO2max (maximum oxygen uptake = the body's "engine performance"), lactate threshold (LT = the "limit line" of performance), and running economy (RE = "fuel efficiency" of running) are directly reflected in TriGo's algorithm.
Yujiro Tsutsumi, the developer. A scene from a VO2max measurement in a university laboratory.
"I want to deliver a coach who deeply understands your body and gives pinpoint advice to all triathletes" — TriGo was born from this desire.
Finish line scene at the Ironman World Championship.
Feedback from Test Users
We have received a lot of positive feedback since the pre-release testing phase. What has been particularly praised is the "pinpoint advice tailored to one's own condition," which differs from general AI, the insights gained from coach feedback after training, and the addictive app experience described as "the more you see it, the more fun it is." We have also received comments like "I introduced it to my friends" and reports that training behavior itself has changed.
Main Features of TriGo
1. Personalized Training Based on Exercise Physiology
The biggest feature of TriGo is that it places exercise physiology indicators at the core of its algorithm. Unlike general template-based training apps, it automatically generates training plans optimized for individual physical abilities and race goals, based on users' physiological data such such as VO2max, lactate threshold, and running economy.
The volume, intensity, and frequency of training are all designed based on scientific evidence. Through periodization calculated backward from the race day, it provides the optimal process for achieving goals.
2. Simulation Function That Answers "Will I Reach My Goal If I Continue Training Like This?"
One of TriGo's notable features is its race performance simulation. It visualizes what kind of time can be expected on race day if the current training plan is continued, based on physiological indicators.
"Will I make it in time for the target race?" "Is my current training volume sufficient?" — AI provides data-driven prospects for these anxieties. Being able to confirm the validity of the plan in advance helps maintain motivation and optimize the plan.
When setting a target race, the user...