Industry

Unify your sports data ecosystem
Context wins.

Data Graphs empowers sports organizations to connect vast data ecosystems into a single, powerful framework, from player data and match statistics to fan experiences and media content.

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The context layer

The missing layer in your sports media ecosystem

Sports media ecosystems generate enormous volumes of data, but it lives in silos. Match statistics in one system. Video footage in another. Sponsor agreements in a third. Fan engagement in a fourth. Each system knows its own domain, but none understands the connections between them.

Data Graphs provides the context layer that ties it all together. Every entity and relationship lives in a single knowledge graph: players, teams, matches, competitions, video moments, sponsors, audiences. A goal is not just a timecode in a video file. It is linked to the scorer, the match, the competition, the sponsors visible at that moment, and the audience watching. This connected context is what turns raw sports data into intelligence.

How Data Graphs helps
Video key moments
Momentize match footage along the timeline. Link goals, plays, and highlights directly to structured metadata.
Connected sports data
Unify player profiles, match data, team information, venues, and competitions in a single knowledge graph.
AI-powered fan experiences
GraphRAG enables natural language queries over your sports data, powering chatbots, search, and personalized content.
Historical intelligence
Query across seasons, tournaments, and decades. The graph connects everything, enabling questions no relational database can answer.
Multi-platform delivery
APIs deliver sports content and data to web, mobile, broadcast, and social platforms in real time.
Sponsorship and monetization
Connect sponsor data to content, moments, and audiences for new monetization opportunities.
See it in action
01

Ask anything about your sports data

What was a team's win rate in away matches last season? How does a player's performance compare across different competitions? With GraphRAG, these questions get answered in natural language, drawing on the full depth of your connected sports data. The AI traverses relationships across players, teams, matches, competitions, and seasons to deliver accurate, contextual answers that no keyword search could match.

02

Sponsor attribution, down to the frame

Sports content is a goldmine of sponsorship data, but tracking placement value across thousands of hours of footage has traditionally been manual and imprecise. Data Graphs connects sponsor data directly to video moments in the knowledge graph. Every logo appearance, pitch-side board, and overlay becomes a structured, queryable data point, giving rights holders the evidence they need to demonstrate value to sponsors with precision.

03

Find the moment, not the footage

Sports organizations sit on vast archives of match footage, but finding specific moments means scrubbing through hours of video or relying on manual tagging. With Data Graphs, every key event is structured in the graph and linked directly to video timecodes. Query for every free kick from a specific player, every VAR review in a tournament, or every goal scored in the final ten minutes across an entire season.

04

Turn archival footage into live opportunity

Sports archives hold decades of career-defining moments, but without structured context, they sit dormant. Data Graphs connects historical footage directly to the knowledge graph, linking every clip to the player, team, season, and competition it belongs to. One query returns a complete career arc across seasons, teams, and milestones. When a player scores today, their history surfaces instantly, giving broadcasters, publishers, and rights holders the context to repurpose archival content at the moment it matters most.

See how it all connects

Want to learn more?

See how Data Graphs can transform your sports data.