Revolutionizing Real-time Fan Engagement

Today's fans expect personalized experiences. Data Graphs integrates data from ticket sales, social media to merchandise, player stats or game-day interactions to deliver hyper-personalized engagement, fostering loyalty and satisfaction.

Data Graphs helps build strategic knowledge hubs by dynamically connecting media assets and written content. This integrated approach enhances content discovery, streamlines content management, and fuels richer fan interactions through relevant information.

Natural language processing enables content discovery based on concepts, not just labels. This provides more intuitive and insightful results, making it easier to surface relevant content and deliver personalized experiences.

Seamlessly integrate Large Language Models (LLMs) for intelligent querying and intuitive data exploration. LLM embeddings connect advanced AI models to indexed data, enabling insightful, natural language interactions. Data Graphs scales to handle growing data volumes and user requests.

Linking sponsorship and advertising data with audience engagement metrics enables targeted sponsorships. Sponsors gain deeper insights into campaign performance, while sports organizations increase revenue through better-aligned partnerships.

Generate new revenue streams by creating and distributing short, hyper-targeted video highlights globally. This optimized content increases fan engagement, drives ad revenue, and enhances sponsor partnerships, ensuring continuous interaction and revenue throughout the season.