Forum Topics CAT CAT #Podcast

Pinned straw:

Added 8 months ago

Informative Podcast with Catapult VP of engineering. Enjoy.

https://scienceforsport.fireside.fm/264

Wakem
Added 6 months ago
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jcmleng
Added 6 months ago

Thanks @Wakem , a great listen to end a great week for CAT. CAT is now my largest IRL holding. Am hoping that CAT evolves to be like PME for me, having completely missed out, and still missing out on PME ... it is off to a great start and well worth the long wait for it to come good.

My key takeaways from the interview follow:

Discl: Held IRL and in SM

KEY TAKEWAYS

The sheer clarity of Will’s thinking is the one thing that stood out for me throughout the interview - the history, the transformation, the drivers, the start point and focus on the Rule of 40, the impact, the future direction, the clarity of articulation. Simply outstanding.

CAT has complete clarity of its costs and its targets, and are laser focused on tracking and containing costs - As the subscription business growth is sustained, variable cost is getting more efficient and fixed cost is not rising linearly with the revenue - should now be operating at this point with increments of 40-50% going forward.

Growth areas - built around key “marquee” teams, or regions, then growth evolves around these

What differentiates CAT is that we do not look at athletes as a N of one - we are really focused on the differences on the position, the sport, body type, how to help you be a better athlete, how do we unleash your potential is to understand this level of detail. It is not a team component, it is “what does it look like for this athlete at this specific moment and based on longevity - you are a different athlete at 22 that you are at 35 - this helps confirm my previous thinking/commentary that raw data is likely to be quite pointless outside of the present team and present use

Next 3-5 Years - Want to expand the number of teams, and expand how they are spending money with us by offering them more service and value - teams currently spend an average ACV of $26-27k - anticipate this to get to $100-$150k because we have a lot of things in the roadmap that are coming out 

What Is Still Misunderstood About CAT

We are no longer a hardware company, we have become a software company and software is really the primary aspect of what we do

This company will never scale and have leverage to really generate profit - we have been telling the market for a long time that there will be a moment that we are going to scale and hit an inflection point, and once we hit that point, we are going to start to generate a really decent amount of profitability. And we have crossed that for 24 months now and we are starting to generate a decent amount of cash

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mushroompanda
Added 6 months ago

@jcmleng Nice summary. The USD$150k/team aspiration definitely stood out for me. Would definitely be interested to hear what Will believes to be the areas that will help uplift the average team spend. The Strawman meeting next month is set to be a cracker - I've already added a couple of questions in Slido.

Brewing about this a bit more, I think first party sensors that integrate with Vector 8 will be a no brainer - especially targeted at the pro leagues and teams that a super well resourced. In-sole sensors would assist many sports, helmet sensors for NFL to detect potential concussion, wrist strap sensors for baseball for throw and pitch speed/volume/angle, etc.

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mushroompanda
Added 7 months ago

I only caught up with this podcast episode today. Thanks to @Wakem for posting and @mikebrisy the reminder on the other thread.

There are a lot of things that are quite interesting. A key point is that the company sees Vector 8 as a hardware platform that they’ll build on over time - specific sport algorithms, software, and integration. It also caters for much bigger teams, such as having 120 athletes at once - which is something that happens during NFL training camps. Also, better reception, live game-day processing, and processing that happens on the CAT dock itself rather than needing a separate laptop. A lot there.

The most interesting thing that I picked up was integration with other sensor hardware. The example was given that an athlete would be wearing sensors in their shoe insoles, which can integrate with the CAT ecosystem by providing additional data - power, velocity, cadence, etc. with each foot. Another example spoke to startups in the concussion space - perhaps sensors in NFL helmets that detect whether a player received a forceful head knock and should enter concussion protocols. Essentially, Vector 8 becomes a hub for other devices to pass relevant data into the CAT pro sports ecosystem. Sounds a bit like a Wahoo bike computer (and Strava!) for prosumer bike enthusiasts.

Should a team adopt some other sensors to integrate with Vector 8, CAT suddenly becomes super sticky and difficult to churn off. I wouldn’t be surprised to see some M&A of startups in this space either.

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jcmleng
Added 8 months ago

Thanks @Wakem for the link to the podcast. Really good to hear directly from the VP at the coal face of CAT innovation. The AI-generated notes are pretty accurate, content-wise, but it was still worth the time actually listening to Jacques speak directly and understand what presses his technical buttons ...

I took away the following points from an investment perspective:

CAT is very much focused on the LIVE GAME, not post game ... exactly what AI Media is focused on, so the parallels were quite interesting.

The aim in the next year is to completely blur the lines between post analysis reporting to real-time analysis to the point that they are no longer 2 separate things, where “reporting” is actually running while you are running the training session and compare with performance in past periods - can walk off the pitch with “this is what happened and I have already compared it to before” - the analysis was done while the session was occurring, get better insights as it happens, able to give more confident recommendations.

Vector 8 is a further and probably a still-underrated expansion of the CAT technology moat - it is essentially the backbone infrastructure /hardware/data pipeline platform on which the core wearable/video platform operates on.

Directionally, it appears that CAT is heading down the path of making it technically easier for 3rd party niche sports management software to integrate into the CAT platform, LIVE - allowing 3rd party integration is a very smart move to (1) enable the customer to leverage the technologies of niche 3rd party software but via the CAT platform (2) entrenches CAT’s technology dominance in the team (3) “puts the 3rd party software in its place”, and (4) gives CAT full technical control over how the customers use these niche software inside the broader CAT Platform - another dimension of the moat which will actually strengthen the moat - this is very XRO-like

Allays any concern of CAT being technically complacent.

Very happy with the technical mindset and direction!

Discl: Held IRL and in SM

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Strawman
Added 8 months ago

Good find @Wakem

I used AI to extract the key points from the discussion:

Here are the key business- and competition-relevant insights from the interview with Jack Greenwald, Catapult’s VP of Engineering, about the new Vector 8 system:


Strategic Positioning & Competitive Differentiators

  • Consumer-grade simplicity: A core design philosophy was to bring a “consumer-like” experience to professional-grade tech, dramatically reducing time and complexity for users. This improves product stickiness and expands addressable markets beyond elite sport science teams.
  • Always-on live data engine: Vector 8 enables real-time decision-making through a powerful live data processing engine embedded in the receiver. This reduces reliance on post-session analysis and speeds up feedback loops dramatically—key in injury prevention and performance optimization.
  • Distributed workflows: Multiple staff members can simultaneously access and edit live data via iPads (e.g., rehab, coaching staff, analysts), even remotely. This "democratization" of data usage could be a major selling point to time-poor, multi-role sports orgs.
  • Integration openness: The system is built to integrate easily with third-party tools (e.g., uPartner’s insoles), aiming to become a platform, not just a product. This could unlock broader partner ecosystems and become a moat via developer adoption.

Technological Innovations

  • Custom receiver-as-a-computer: The new receiver replaces the need for laptops and complex field setups. It's portable, installable, and always recording—supporting both permanent and mobile deployments.
  • Superior download speed: New in-house data transfer tech enables full dataset downloads (including 100Hz inertial data) in near real-time. Not summaries—everything.
  • Advanced antenna system: The new “body wave” antenna improves signal reliability even in challenging environments like packed stadiums and sideline occlusions.
  • Edge AI capabilities: Vector 8 hardware includes powerful onboard AI processors, ready for applications like real-time event detection, player load forecasting, and computer vision—most of which will roll out over time.
  • Live database functionality: The system can retrospectively capture and analyze data from ongoing sessions. For example, if a session starts before the operator is ready, they can still “scroll back” and capture everything.
  • Software upgrade cycle: Vector 8 is designed for rapid iteration, with updates delivered “multiple times a week,” promising an evolving feature set and value proposition over its 3-year product cycle.

Market Rollout & Product Strategy

  • Launch sequencing: Vector 8 is launching first in American football (Q2/Q3 2025), followed by global rollout across soccer, rugby, and AFL. This indicates significant near-term exposure to U.S. sports markets.
  • Custom sport-specific tuning: Each sport’s rollout will include tailored optimizations, indicating a segmentation strategy that could improve adoption and pricing power.
  • Scalability: The system can support 120 athletes simultaneously and cope with high-RF environments (like stadiums), making it viable for the largest professional teams and leagues.
  • Vector 9 already in R&D: Electronics for the next-gen platform is underway, suggesting long product lead times and continuous investment in hardware leadership.

Longer-Term Vision

  • Real-time analytics = new standard: The line between live monitoring and post-session analysis is blurring. Catapult wants reporting and decision-support tools to function during sessions, not just after.
  • Broad data unification: The future lies in removing silos between video, athlete load, biomechanics, and more. Catapult is positioning itself as the centralized operating system for high-performance sport.

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