The platform transforms live sports broadcasts into personalized, publication-ready highlight packages while games are actively in progress. Operating at continuous scale, it automatically ingests, analyzes, and tags video streams to identify key moments. The system processes massive data volumes with zero tolerance for latency, directly powering downstream consumer-facing media products.
Technology Stack: The backend core is built on C# and .NET, running distributed microservices orchestrated via Kubernetes in cloud environments like Azure. Asynchronous data flows and event-driven architecture rely on pub/sub messaging infrastructure (Kafka and Azure Service Bus) with relational SQL databases for persistent storage. The engineering team actively leverages modern AI tooling, including Claude Code, Cursor, custom skills, and sub-agents, directly within their delivery workflows.