Something has bothered me for years in sports tech: we treat the human body like a collection of separate dashboards. Heart rate, sleep quality, GPS, stress scores. Each metric lives in its own silo, reported as if it operates independently. But here's what we know from physiology and what every athlete intuitively feels: Everything is connected. Every cell, every mitochondrion, every nerve.

Workouts alone don’t explain performance. Two runners with identical training load and experience can do the same session and respond completely differently. We want to help recreational athletes understand how to consider their physiology and context when making their next training decision. That’s why we’ve just added a new Athlete profile for runners in KULG.

What if you could predict your athletes' injury risk before it happens - and adjust training in real time to prevent it? That's not science fiction anymore. The latest research shows AI-powered systems are now analysing multidimensional athlete data to predict optimal training loads with unprecedented accuracy.

We’re excited to introduce weekly and monthly AI insights for runners on the Runner plan. These insights are designed to help runners understand their training better, discover patterns in their training, reflect on recent progress, and make informed decisions for what comes next.

We’ve released weekly and monthly AI insights to select customers for testing, rolling out the feature to all subscribed runners in the coming weeks. This milestone aligns well with the start of our 6-month journey in Tehnopol's AI Accelerator, where we’ll work with a panel of AI experts and mentors to take our training intelligence to the next level.