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United States
8
NDA
Sports
React/TensorFlow
Hudl had built a vertically integrated sports-technology platform that spanned capture → cloud ingestion → automated tagging/analytics → distribution and pro services. Teams uploaded raw footage (or used Hudl hardware), Hudl’s backend processed and transcoded media into multi-bitrate renditions, automated tagging pipelines (Assist) generated stats and linked clips, and analysts used Sportscode/Wyscout modules for deeper breakdowns and recruitment workflows. The company supported hundreds of thousands of teams and a global library of video/data while also offering professional services (game coding, data operations) to elite clubs.
Peak ingestion & campaign scale
Handling bursty, large-file uploads (entire seasons of footage, multi-camera rigs) required resilient upload orchestration, resumable clients and pre-warmed transcode capacity to avoid processing backlogs.
Low-latency turnaround for coaches
Coaches and analysts needed near-real-time tagging and short turnaround windows (post-game and in-practice), which demanded fast, reliable processing and on-call operational capacity.
Data integrity & analytics accuracy
Automated stat-tagging and ML-based detection had to reach high precision to be trusted by pro customers; false tags or missed events eroded analyst trust.
We scaled Hudl’s ingest and transcode systems with resumable clients and autoscaling worker pools so large uploads no longer created processing backlogs. We implemented a prioritized, GPU-capable tagging pipeline and human-in-the-loop checks so Assist outputs met coach SLAs and improved in precision. We delivered an extensible metadata/rules engine so analysts customized stat models per sport without engineering changes. Finally, we helped modernize DB services and introduced tiered storage and autoscaling cost controls so Hudl reduced TCO while maintaining enterprise SLAs.
1. Core Video Platform
Hudl hosted upload, storage, secure sharing and playback of game and practice film with team-level access controls and mobile capture tools.
2. Automated Tagging & Assist
The Assist service provided automated tagging and fast stat-linking so staffs received play-by-play data and linked clips without manual frame-by-frame work.
3. Advanced Analysis (Sportscode & Instat)
Pro-grade analysis tools (Sportscode) and integrated data partners gave analysts deep timeline control, custom coding and advanced visualizations.
4. Scouting & Recruitment Data (Wyscout / Data APIs)
Hudl offered scouting databases and data APIs for recruitment and opponent research so clubs could combine video and structured player metrics.
5. Mobile Apps & Capture Hardware
Native mobile apps and integrated camera solutions (Focus, Flex) let teams capture high-quality footage and upload directly into the platform for near-real-time review.
The solution improved user engagement, and a pilot adoption rate exceeding expectations.
Processing latency for high-priority games fell significantly as the fast-lane tagging pipeline removed bottlenecks and reduced coach waiting time. Tagging precision and analyst trust rose after human-in-the-loop retraining, which reduced manual correction load and increased Assist adoption. The metadata rule engine shortened time-to-configure new sports or stat sets from weeks to days, increasing product agility. Cloud modernization and tiered storage lowered operational costs and made enterprise billing/revenue recognition more predictable.
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