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VSiN

Operationalizing Generative AI for Real-Time Sports Content Automation

VSiN Logo-1
Industry

Broadcast Media & Sports Content Technology
Goal

Automate real-time sports highlight creation and distribution.

 
Products

Zype Streaming Platform, Zype Playout, and Zype APIs & Metadata Tools

VSiN is a sports media network focused on delivering real-time betting, analysis, and live sports content across digital, OTT, and FAST platforms. 

Its audiences expect immediate access to highlights, context-rich clips, and event-driven content distributed across owned-and-operated properties and syndication partners.

To meet these expectations at scale, VSiN relies on Zype to manage video ingestion, metadata, distribution, and syndication workflows, while leveraging AI-driven clipping and metadata generation technologies integrated with Zype’s platform to accelerate highlight production. 

THE CHALLENGE

Delivering Real-Time Sports Highlights with Speed, Accuracy, and Scale

To keep programming fresh and relevant, sports content publishers need to quickly repurpose moments from live streams into new segments while the story is still timely. VSiN needed a reliable way to capture key portions of live and just aired coverage, package them into polished programming, and publish fast enough to stay aligned with what fans are talking about right now.

  • Generate and distribute clips from live and VOD content in near real time
  • Scale highlight production without increasing editorial headcount
  • Generate metadata-rich clips optimized for monetization across FAST, OTT, and syndication environments
  • Ensure clips were accurately categorized for syndication, FAST playlists, and downstream partners
  • Eliminate manual metadata tagging and rework across platforms

 

The business challenge was enabling speed, accuracy, and scale simultaneously, without introducing operational bottlenecks.

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From a technical perspective, VSiN required an integrated workflow that connected AI-driven clipping and metadata generation with downstream video platforms in a way that was:

  • Fully automated (no manual intervention post-clip creation)
  • Metadata-accurate and taxonomy-aware
  • Flexible enough to support evolving category structures
  • Reliable at live-sports scale

Specifically, AI-generated tags needed to map deterministically to Zype category IDs so clips could be instantly curated, syndicated, and monetized. Additionally, VSiN required AI-generated descriptions, timing markers, and metadata attributes to be created and enriched automatically to support downstream monetization and ad workflows.

THE SOLUTION

An AI-Driven, API-Based Content Automation Architecture

Zype designed and implemented an AI-driven, API-based ingestion and metadata orchestration workflow built on AWS, leveraging managed generative AI services for scale and reliability.

Key solution components included:

  • AI-Driven Metadata & Content Generation: Zype leverages AWS Bedrock–based generative AI to automatically generate metadata including titles, descriptions, category signals, and timing markers, enabling content to be contextualized and monetized at scale.
  • Dynamic Metadata Mapping & Taxonomy Control: Zype exposes category taxonomies and metadata schemas via APIs, allowing AI-generated outputs to be deterministically mapped to Zype Category IDs prior to ingestion.
  • Automated Ingestion & Enrichment: Clips and metadata are ingested through Zype APIs and enriched automatically, eliminating manual intervention and ensuring consistency across FAST, OTT, and O&O destinations.
  • Automated Distribution via Feeds Marketplace: Zype auto-curates enriched content into MRSS feeds powering FAST channels, OTT apps, owned-and-operated properties, and syndication partners.
THE RESULTS

Faster Publishing, Higher Output, and Metadata-Driven Performance

The implementation delivered immediate and measurable impact across speed, scale, and content quality:

  • Increased Clip Volume: Zype’s GenAI-powered workflow enabled significantly higher highlight output without additional editorial resources.
  • Reduced Time-to-Publish: Clips are generated, categorized, and distributed in near real time, supporting live sports use cases.
  • Richer Metadata for Monetization with AWS Bedrock:  Leveraging AWS Bedrock-based models like Nova, AI-generated titles, descriptions, category signals, and timing markers improved content relevance, ad insertion accuracy, and downstream revenue performance.

 

  • Improved Metadata Accuracy: Deterministic mapping of AI tags to Zype Category IDs ensured consistent placement across FAST playlists, feeds, and partner destinations.
  • Stronger Syndication Performance: Downstream partners reported higher relevance and engagement due to improved metadata alignment.
  • Operational Efficiency: Manual clipping, tagging, and distribution steps were eliminated, reducing operational overhead and error rates.

Zype established a repeatable, scalable GenAI-powered workflow that now serves as a baseline architecture for modern sports content operations running on AWS.