In skilled sports activities, the distinction between successful and shedding typically comes right down to effective margins. Groups throughout the globe are turning to data-driven insights to optimize athlete efficiency, mitigate accidents, and acquire aggressive benefits.
Catapult Sports activities, is a sports activities expertise firm that empowers skilled groups to make data-driven selections. Through the use of AWS IoT providers, Catapult is remodeling how groups gather, analyze, and act on their knowledge.
Catapult powers the data-driven insights that skilled groups must optimize athlete well being, scale back accidents, and excel within the science of human motion. With over 500 workers throughout 24 areas worldwide, Catapult serves greater than 5,000 skilled groups in 40+ sports activities throughout 128 international locations. This contains high franchises within the NFL, NHL, and English Premier League.
The problem: Assembly the calls for of elite sports activities
Skilled sports activities groups function in high-pressure environments. They depend on athlete-monitoring expertise that generates real-time insights throughout video games and practices, offering athletes and coaches with worthwhile data to enhance efficiency. To efficiently undertake such expertise, groups have basic expectations: instantaneous deployment, seamless updates, distant administration throughout world operations, and 0 tolerance for machine failures or configuration errors throughout important moments.
As sports activities analytics turns into more and more subtle, groups additionally demand sooner entry to new options, enhanced algorithms, and improved capabilities that may ship aggressive benefits. The problem for sports activities expertise suppliers is delivering enterprise-grade reliability whereas sustaining the agility to innovate quickly.
The answer: Vector 8 powered by AWS IoT
To fulfill these demanding necessities, Catapult developed Vector 8, its next-generation athlete monitoring resolution constructed on AWS IoT providers. The Vector 8 suite consists of 4 foremost elements:
Actual-time efficiency insights
Vector 8 delivers three sorts of knowledge to coaches and sports activities scientists:
- Gadget well being knowledge – Stay telemetry, together with battery standing and obtained sign energy indication (RSSI), plus dwell machine configuration, comparable to firmware variations. Transmitted in real-time, enabling proactive intervention earlier than units fail throughout important moments.
- Scorching knowledge – Stay in-game or in-practice knowledge sampled at 10 Hz, together with acceleration, velocity, participant positioning, and coronary heart charge monitoring. Coaches see instantaneous visualizations in iOS apps, enabling in-the-moment interventions, comparable to substituting fatigued gamers or adjusting ways based mostly on motion patterns.
- Chilly knowledge – Publish-game uncooked inertial knowledge sampled at 100 Hz, used for machine studying (ML) inference to mechanically detect sports-specific actions like jumps, tackles, and throws.
Catapult’s AI-driven analytics can generate 600 distinctive metrics per participant per sport, offering deep insights into athlete efficiency, workload administration, and damage prevention. With the mixing with Catapult’s video evaluation options, coaches can align bodily output knowledge with precise sport footage, remodeling how groups analyze and enhance efficiency.
AWS IoT structure
On the coronary heart of Vector 8’s connectivity is AWS IoT Core. AWS IoT Core supplies a scalable and extremely accessible cloud endpoint for authentication, authorization, encryption in transit, and machine administration at scale. The AWS IoT Core guidelines engine serves as the mixing level that routes knowledge from hundreds of units to the suitable AWS providers over our high-bandwidth, low-latency, sturdy community infrastructure.
AWS IoT Greengrass is the muse of the Vector 8 dock and receiver software program structure. AWS IoT Greengrass supplies each an edge runtime and a cloud service that helps Catapult construct, deploy, and handle multi-process IoT purposes at scale. The open-source edge runtime manages Catapult’s customized elements alongside AWS-provided elements, dealing with part versioning, dependency decision, logging, and interprocess communication.
For real-time knowledge streaming, Catapult makes use of Amazon Managed Streaming for Apache Kafka (Amazon MSK) to buffer and course of machine well being telemetry and dwell athlete efficiency knowledge. Amazon Elastic Container Service (Amazon ECS) runs containerized analytics providers that course of battery ranges, firmware variations, and different diagnostics in actual time. Outcomes are uncovered by means of Amazon API Gateway and delivered to Catapult’s internet interface and cellular apps, the place coaches and gear managers monitor machine standing.
Publish-game knowledge flows to Amazon Easy Storage Service (Amazon S3), the place uncooked 100 Hz inertial knowledge is saved for machine studying inference. A two-hour session with 30 athletes will be uploaded to Amazon S3 in lower than 30 seconds, representing 36 million knowledge factors from a typical NHL sport.
Key advantages and outcomes with AWS IoT
Seamless onboarding expertise
Vector 8 delivers an out-of-the-box expertise that will get groups up and working in minutes. As Mike Lee, Principal Product Supervisor at Catapult, explains:
“With Vector 8, prospects merely obtain the Catapult Vector iOS app, unbox the {hardware}, and observe a guided in-app registration circulation, and that’s it. Their full system linked, configured, and up to date in lower than 10 minutes.”
Groups can begin monitoring athletes inside minutes of receiving their gear by means of this streamlined self-service onboarding expertise. No technical help or complicated setup is required. The automated course of configures units appropriately and runs the most recent firmware instantly.
Quick machine updates
Over-the-air (OTA) updates by means of AWS IoT Greengrass deployments have reworked how Catapult delivers new capabilities to prospects. Mike Lee highlights the advance:
“One of many greatest sport changers with Vector 8 is how we deal with updates. By transferring to automated OTA updates with AWS IoT Greengrass, we’re in a position to replace units as much as 32 instances sooner than earlier generations, saving prospects an enormous period of time and operational trouble.”
By transferring to automated updates delivered by means of AWS IoT Greengrass deployments, Catapult has achieved a degree of fleet-wide consistency that wasn’t attainable with earlier generations. Mike Lee emphasizes the importance of this shift:
“We have now by no means been within the place the place we’ve had virtually the whole wearable machine fleet on the most recent firmware. That’s going to assist us keep away from a whole bunch of help tickets.”
This near-universal fleet foreign money implies that all prospects profit from the most recent options, efficiency enhancements, and bug fixes mechanically, with no handbook intervention required.
Enabling fast innovation
The dependable, high-performance over-the-air replace functionality has essentially modified how Catapult’s firmware crew operates. Mike Lee describes the transformation:
“For the primary time, we will safely push adjustments to units as quickly as they’re prepared. What used to take months to succeed in prospects can now be delivered in weeks, and even days, particularly once we’re iterating on new options or working beta applications.”
This acceleration permits Catapult to iterate shortly on new options based mostly on buyer suggestions, delivering worth sooner and staying forward of the competitors. The shift from months-long launch cycles to weekly and even every day releases represents a basic change in how the corporate innovates.
Proactive machine administration and diagnostics
AWS IoT safe tunneling, coupled with the AWS IoT Greengrass safe tunneling part, permits Catapult’s help crew to offer world-class service. Help engineers can set up SSH classes to docks and receivers on demand, with no buyer involvement past consent. With the AWS IoT Greengrass log supervisor part, machine logs mechanically circulation to Amazon CloudWatch in close to real-time, enabling proactive subject identification and backbone earlier than prospects discover issues.
This distant entry functionality transforms help operations from reactive troubleshooting to proactive monitoring. Points that beforehand required scheduling buyer appointments and sophisticated file transfers can now be recognized and resolved in minutes.
Clever configuration administration
AWS IoT Gadget Shadows allow Catapult to handle machine configurations from the cloud with out requiring bodily connections. When coaches assign athletes to units or replace efficiency thresholds by means of Catapult’s cellular app, these configuration adjustments mechanically sync to the cloud and propagate to all registered docks. The following time a tag is positioned in any dock, it receives the most recent configuration, making certain consistency throughout the whole machine fleet.
This functionality has eliminated hundreds of handbook machine staging operations. Alternative units mechanically obtain the proper buyer configuration upon the primary connection, enabling true hot-swap performance that retains groups operational even when {hardware} is changed.
Trying forward
With the muse of cloud connectivity and automatic machine administration in place, Catapult is exploring a number of future improvements:
- Stay knowledge streaming to the cloud – Presently, 10 Hz dwell knowledge streams solely to sideline iOS apps. Streaming this knowledge to the cloud would allow extra in-game analytics and allow distant entry for coaches and sports activities scientists.
- Edge machine studying inference – Most ML inference at present occurs within the cloud post-game. Catapult is investigating shifting extra inference to the sting, on receivers and even tags, to offer extra real-time insights throughout video games and follow classes. The sturdy OTA replace mechanism permits almost steady iteration and enhancement of deployed fashions.
- AI-powered crew analytics – Analyzing team-wide tag knowledge to know crew actions, group dynamics, and tactical patterns utilizing superior AI fashions.
- Pure language video search – Utilizing AI, like multimodal embedding fashions, to allow pure language search and understanding of video content material. This helps coaches to seek out particular performs or conditions.
Conclusion
Catapult’s Vector 8 platform demonstrates how AWS IoT providers allow sports activities expertise firms to ship enterprise-grade options with consumer-grade simplicity. By reaching 10-minute onboarding, 32x sooner updates, and 97% of the fleet working the most recent firmware, Catapult has set a brand new commonplace for athlete monitoring expertise.
These enhancements permit Catapult to maneuver past troubleshooting and towards strategic development. Engineering groups can iterate quickly; their help groups can resolve points extra shortly; and prospects can deal with what issues most – optimizing athlete efficiency and successful video games.
As skilled sports activities change into more and more data-driven, Catapult’s AWS IoT-powered platform positions them to proceed main the transformation of how groups practice, compete, and succeed.
Be taught extra
To study extra about AWS IoT providers and the way they will rework your linked machine enterprise, go to aws.amazon.com/iot. To study extra about Catapult, go to catapult.com.
To dive deeper into this specific use case, watch the recording “AWS re:Invent 2025 – Peak Efficiency: IoT Innovation in Skilled Sports activities (SPF301)”.
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