X%Fewer stream dropouts on throttled networks
X%Faster real-time shot & trajectory analysis
X%Sports agencies onboarded via SaaS offering
X%Increase in AR-tracking accuracy for player positioning
About the Client
Our client operates in the techno-sports space, providing performance and engagement technology to sports agencies before expanding into a direct-to-consumer product. They needed a mobile platform for iOS and Android that let fans follow live games, place bets in real time, and access AI-driven game analysis, while giving players and agencies AR-based tracking of shot trajectory, speed, and on-field positioning. The platform also had to scale horizontally as adoption grew. BigOhTech partnered with the client from architecture through deployment, embedding senior data science, cloud, and AI engineering talent directly into the build.Business Challenges
The client came to us with five interlocking requirements that most off-the-shelf streaming or fantasy-sports stacks don't solve together.
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Our Approach
Cross-platform mobile foundation We built native-quality Android and iOS applications giving users a single interface to browse and join live games as they happened.
Low-latency streaming via RTSP The apps used RTSP (Real-Time Streaming Protocol) to connect directly to the source server, giving fine-grained control over the video pipeline rather than relying on generic third-party embeds.
Adaptive streaming for throttled networks We implemented RTSP-based throttling that let the client control codec selection, bitrate, and target quality dynamically. When a viewer's connection degraded, the stream automatically stepped down in quality instead of cutting out — directly reducing dropout rates during peak, high-congestion viewing windows.
AI/AR-based performance tracking Computer vision and AR were used to track ball trajectory, shot speed, and pass accuracy in real time, giving both individual players and partner sports agencies a live read on on-field performance — including player positioning across the field, not just ball tracking.
SaaS expansion for B2B partners On top of the consumer app, we packaged the analytics layer as a SaaS offering, allowing sports agencies to monitor player performance independently — turning a single consumer product into a two-sided platform (fans + agencies).
CASE STUDY AI/ML
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The Impact
Streaming reliability improved for users on inconsistent networks, since the app now serves a lower-quality stream instead of failing outright — reducing viewer drop-off during live games.
Player and agency adoption grew through the SaaS analytics offering, extending the product beyond the original consumer use case.
Real-time betting and viewing became a single experience rather than two disconnected flows, which the client had identified as a core retention driver.
AR tracking gave a new value layer to B2B partners, letting agencies evaluate player positioning and shot mechanics without separate scouting tooling.
