Fitogether Sports Data Technology

0:00 OK, let's unpack this. We're diving into the world of fit together today. Ah yes, the South Korean company. They're really making waves in sports data. Exactly. Helping teams actually use their data effectively. Their whole vision seems to be about, well, connecting and innovating sports through data. Right. Making players and teams more valuable, getting them closer to winning. And just boosting the whole sports culture, it sounds like. And they have a clear focus, which I find interesting. It's all about Electronic performance tracking systems, EPTS.

0:30 EPTS so the tech that monitors athlete movement and performance. Precisely. And they specialize in analyzing that data specifically for football. That's their main thing. And they're not just newcomers, they've got some serious recognition, haven't they, being a FIFA preferred provider for wearable tracking since late 2022. That's a big deal, yeah. December 2022. What does that actually mean being a FIFA preferred provider? Is it just a label? Oh, it's much more than a label. It means their tech has gone through really rigorous testing by FIFA, high standards for accuracy, reliability, you know, the stuff teams need to trust when making decisions.

1:09 So coaches rely on this for tactics training. Absolutely. You need data you can bank on. So yeah, that FIFA status, it definitely opens doors globally. And their reach seems huge already. Over 450 clubs, 44 countries. And over 500 teams in what, 60 plus countries using their OH Coseeget service across 150 leagues. Wow, that's that's a massive footprint. It really highlights the global hunger for this kind of sophisticated sports data. It's not just the top top leagues anymore. Everyone wants that competitive edge.

1:42 Right teams at all sorts of levels see the value in these insights. OK, so today let's really try to get under the hood, understand what makes their tech tick and the impact it's having. That's good. Let's start with what seems to be their core strength, that technological edge in wearable EPTS. That's right, they really push the top level quality of their wearables. And those fee for certifications we mentioned? Yeah, they back it up. Three basic certs, 2 quality certs. It's independent proof that their system delivers.

2:10 One thing that really jumped out at me was the claim of centimeter level positioning accuracy. Centimeter level in soccer. How? OK. So the key is RTKGNSS technology. Right, GNSS is like GPS, but what's RTK? RTK stands for Real Time Kinematic. It's like GPS on steroids. Basically it uses fixed base stations to correct errors you normally get with satellites, and that correction is what lets them get down to that incredibly fine centimeter level precision. Which in a sport where tiny margins matter.

2:44 It's potentially a game changer, yeah. Tracking speed, distance, tactical position with that much accuracy? Huge, yeah. You really need reliable data for that kind of analysis. Definitely, and it's not just the GPS or GNSS, they use sensor fusion too. Sensor fusion meaning. They combine the satellite data with data from an IMU and an inertial Measurement unit. What's? In an IMU. Things like accelerometers, gyroscopes, sensors that track immediate motion and orientation. OK. And by blending these data streams, they ramp up the data resolution way up to 1000 Hertz.

3:14 1000 times a second. 1000 times a second. That seems incredibly high. What extra detail do you capture at that frequency? Think about those lightning fast changes in direction, the stops and starts. A lower frequency might just blur those out right? But at the 1000 Hertz, you capture the nuance. Every tiny acceleration, deceleration, shift in body angle, it gives you a much richer picture of the physical demands. So you can really drill down into bio mechanics the actual physical stress. Exactly.

3:42 It differentiates the quick from the explosive. You know crucial details. And presumably coaches want this data fast. You mentioned seamless live streaming using Wi-Fi. Yes, the system supports live streaming over Wi-Fi, critical for making those in game or mid training adjustments. And they stress it's without data loss. Which is key. Teams need confidence that the real time picture they're seeing is complete and accurate. No gaps. OK, so we've got this super accurate high res tracking tech. Now let's talk about the product itself.

4:13 OH, Coach. Right there FIFA approved EPTS solution tailored for football analysis. And feed Together makes both the hardware and the software for OH Coach. They do. They handle the wearable devices and the analysis platform. That kind of integrated approach, hardware and software together, often leads to a smoother system. Better optimization maybe? Potentially, yeah, a more efficient user experience overall. And they have an app, Ohkoshi Live sounds like it handles the whole process from planning to review.

4:43 It really does. Coaches can design training sessions in the app Set targets. And then see how the actual session compares to the plan. Exactly, it shows planned versus actual performance. Plus you get real time dashboards and analysis during the session. And afterwards. Simplified reports makes it easier for coaches to digest the data and plan for the next session. Interesting that even recently, like May 2025 is still tweaking it. UI improvements fixing wireless extraction bugs. Well, that shows they're listening to users, right?

5:15 Continuous improvement. Yeah, essential for tech. You need to keep refining usability. Definitely impacts how well teams can actually integrate it into their daily work. Now, Fit Together isn't just doing this alone. They've built some big strategic partnerships, starting close to home with the K League in Korea since 2019. Yeah, that long term K league relationship is telling. It shows reliability. And they do more than just provide the EPTS. Right, They help with fitness testing too. They seem pretty embedded in the league's performance ecosystem.

5:46 And it's not just Korea. They're the official EPTS for 10 other pro leagues. Uzbekistan. Iceland, Singapore. That's pretty diverse. Spread shows their system is adaptable. Different football cultures, different needs. Exactly. It suggests growing trust in their tech across various levels of the game globally. But then you see partnerships with specific big clubs too. Lazio Como nineteen O 7 in Italy. Rio, Zargoza, Miranda's in Spain. And clubs in Thailand, Albania, India too. Bengaluru FC. What's the goal with these individual club deals?

6:19 Well, these give fit together invaluable real world feedback, working directly with teams, understanding their specific needs, different playing styles. So if he's back into product development. Precisely ensures their solutions actually solve the problems coaches and players face day-to-day. Then there's that huge partnership announced in May 2024, Qatar's Aspire Academy. Yes, Aspire. That one's very significant. Why so strategic? Aspire is known for being high tech. It's. Extremely high tech, It's a global hub for sports science.

6:50 Elite training, world class facilities for feet together. It's the perfect place to really push their OH coach system. Validate it under tough conditions. Exactly, and collaborate on new developments, new services. Plus, there's an educational aspect working together on athlete training methods. And it seems they're already active that Aspire in the World Fellows workshop tour. Right Feet Together equipped the players with their trackers for that, showcasing the accuracy, even the 3D tracking. And their CEO gave a keynote, Jin Sung Yun.

7:21 Yeah, having the CEO present really highlights how important this Aspire link is for them. It's a global stage to show off their techs capabilities. Build that international credibility? Sure. They also partnered with Fennerboss's Academy back in 2022, focusing on youth development there. Yes, working with youth academies is smart. Build relationships early. Show how the tech aids player development right from the start. And Fennerboss has a strong reputation for bringing players through. Exactly another great case study for Finn Together demonstrate getting impact on nurturing young talent using data.

7:53 It really feels like they're building momentum, building this strong network across football. OK, let's shift gears slightly. Talk about the money side. The. Investment. Yeah, they raised $7.2 million in February 2024. That's a decent chunk of change. It is, and getting it from VCs, banks, even government agencies, it signals strong belief in their potential. What is that kind of capital usually enable? More R&D, global expansion, maybe explore new markets or applications for their tech fueling that growth.

8:23 And their current scale estimated $5.1 million annual revenue, $17 million total funding with just 35 employees. It paints a picture of a company in a definite growth phase, significant backing, generating revenue, but still relatively lean. Maybe quite tech reliant, efficient operations. Could be suggests their processes are quite streamlined. OK. So the tech strong partnerships are growing, funding's coming in, but fight Together is also pushing the science right this research into contextual Sprint classification using deep learning.

9:00 Now this is where it gets really cutting edge. Right, they're not just counting sprints. No, they're trying to understand the why, the tactical reason behind the Sprint. Was it an attacking overload? A defensive recovery? Yeah. Tracking a run. Which is miles beyond just saying player X ran 10 sprints. Totally. It connects the physical output to the tactical brain of the game. A huge leap. What's? The big hurdle they're tackling with this the. Sheer difficulty of doing this analysis manually. Imagine analysts watching hours of videos tagging every single Sprint with its tactical purpose.

9:31 Yeah, incredibly time consuming, not scalable. Exactly. So the challenge is automating that context away classification. And their answer is deep Learning AI. Precisely using AI to automatically sort sprints into different tactical buckets. How many categories are we talking and how well does it work they've? Defined 15 distinct tactical categories for sprints and in their experiments the deep learning model achieved 77.65% accuracy. Wow, over 77% for classifying something that seems quite subjective?

10:05 That's impressive. It really is a big step forward for automating this kind of complex analysis. Can you give us a glimpse of how the AI model works? What data does it look at? OK, so it looks at the movement trajectories, not just the sprinter, but all the players and the ball during that Sprint event. A whole picture. Right, it uses this is something called set Transformers, Basically a way to tell the AI that the order of the other player doesn't really matter for the context and then bi directional GR us OK.

10:33 Getting technical now. Yeah, think of it as a way for the model to understand the sequence of movements leading up to and during the Sprint. It learns patterns, how players move relative to each other and the ball. That signaled different tactical intentions. Sounds complex and training such a model needs good data. I saw they used a mix of rule based classification and human experts. That's vital. Garbage in, garbage out. With AI. They likely used a simpler rule based system for initial tags, then had human experts review and correct them.

11:03 Creating that high quality ground truth data. Exactly. That combination of automated rules and human expertise is often the key to building powerful AI systems like this. So let's imagine this tech becomes standard. What can coaches actually do with this contextual Sprint data? Oh, the possibilities are really interesting. First, you get a much clearer picture of match demands. Not just physical load, but tactical load in different situations. So you could tailor training much better. Absolutely training specific to role specific tactical scenarios.

11:35 Second, think about video analysis. This could enable keyword searches for plays. Like a coach could say show me all of winger wise sprints into the penalty area on a counter attack. Whoa, that would be powerful for post match review. Hugely powerful, finding specific tactical moments instantly for coaching feedback. It really does sound like Feet Together is right at the cutting edge here. FIFA validated accuracy, growing global reach and pioneering this deeper level of analysis. They're definitely positioning themselves strongly.

12:06 It's not just about collecting data points anymore. It's about generating real insights. Exactly tools that help teams genuinely understand performance better, find that competitive edge, their focus on accuracy, plus this innovative research, they're a key player to watch in sports analytics. So for you, the listener who's joined us for this deep dive, here's something to chew on. How will these increasingly sophisticated tools, like the ones fit together as building, fundamentally reshape sports?

12:34 Good question. Wrecking strategy, player development, maybe even how we define athletic performance itself. It's moving way beyond just tracking speed or distance, isn't? It it really is. It's starting to decode the intelligence, the tactical intent behind every move on the field. That's a fascinating shift with implications far beyond the simple stats we're used to.