AI for sports and entertainment
We build AI systems that drive performance on the field, deepen fan connections, and create commercial value across sport and live entertainment.
- Typical time to production
- 3 to 8 wks
- Prediction accuracy across three sports
- 65%
- Soccer matches in training data
- 70K+
- Prediction platform to production
- 1 month
In short
How is AI used in sports and entertainment?
Explore the solution behind this work: our AI and machine learning solutions.
Use cases
AI use cases for sports and entertainment
From athlete performance to fan monetisation: AI built for sport and live entertainment.
Sports performance and predictive analytics
ML models that analyse athlete biometrics, tracking data, and historical performance to predict outcomes, optimise training loads, and reduce injury risk.
- Injury risk monitoring
- Data-driven team selection
- Real-time in-match analytics
Sports betting and prediction engines
Statistical models and real-time data pipelines that power odds generation, market making, and live betting platforms.
- Real-time odds calculation
- In-play event detection
- Multi-sport prediction models
Fan engagement and personalisation
AI-driven personalisation engines that deliver relevant content, offers, and experiences across digital platforms, increasing fan lifetime value.
- Personalised push notifications
- Churn prediction and retention campaigns
Ticketing and revenue optimisation
Dynamic pricing models, demand forecasting, and seat-yield management systems that grow gate revenue without alienating fans.
- Demand-based dynamic pricing
- Inventory optimisation across events
Media and content intelligence
AI video clipping, highlight generation, and content tagging that cuts production time for sports media and streaming platforms.
- Automated highlight generation
- Faster content clipping
- AI-powered metadata tagging
Sponsorship and commercial analytics
Computer vision and NLP tools that measure sponsor brand exposure across broadcasts, social, and digital, proving ROI on commercial partnerships.
- Automated sponsor exposure measurement
- Multi-platform brand reach analytics
- ROI reporting for commercial teams
Case studies
Sports and entertainment case studies
Sports prediction and analytics platform
Case study
Built a production prediction platform for Soccer, NBA and NASCAR on one shared infrastructure: 65% accuracy across the three sports, an 89.2% Grade A soccer Over/Under win rate, and live in one month.
Marketing operations automation
Case study
Automated client onboarding from Slack to Smartsheet with 100% duplicate elimination, zero manual data entry and real-time account manager routing.
Technology
Technology stack
- Python / TensorFlow / PyTorch
- Apache Kafka for real-time data
- Azure ML & Databricks
- Computer Vision (OpenCV, YOLO)
- GPT-4 for content generation
- Opta / StatsBomb data feeds
- Power BI fan analytics dashboards
- AWS Kinesis for live data streams
Ready to win with AI in sports and entertainment?
Production-ready AI in 3 to 8 weeks. Let's map your highest-impact opportunity today.