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Sports & Media

Real-time data, vision, and language models for the sports industry.

Applied AI for sports rights-holders, leagues, broadcasters, and clubs. Real-time match intelligence, broadcast augmentation, athlete-performance models, and fan-engagement platforms.

Sector challenges

Sub-second latency requirements for live broadcast augmentation.

Vision and event-stream data fused with structured statistics.

Fan-engagement platforms that scale from zero to millions in 90 minutes.

Rights and licensing constraints on what can be shown, where, and to whom.

How we apply our capabilities

Sports Data AI analysis

Real-time match intelligence: event detection, narrative briefs, anomaly alerts.

AI Automation & Agents

Broadcast augmentation

Vision-model overlays, automatic highlight reels, multi-language commentary.

AI Automation & Agents

Fan-engagement platforms

Edge-rendered web and mobile apps engineered to survive matchday traffic spikes.

Web Applications

Athlete and tactical analytics

Performance models built on top of biometric, video, and event-stream data.

RAG & LLM Engineering

Case studies

Case studies in Sports & Media

Anonymised. The architectures and outcomes are what we can speak to publicly.

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Regulatory and compliance framing

  • Broadcast and rights compliance for live events
  • Data-protection obligations for athlete biometric data
  • UK Gambling Commission (UKGC) licence conditions for sportsbook and iGaming operators

Insights

Related insights

Field notes from engineering practice in this sector.

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Building in sports & media? Let's talk.

A Discovery Sprint is the fastest way to a credible, scoped proposal, usually two to four weeks.

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