Multiverse Computing helps clubs, federations, sports tech companies and event organizers unlock the value of their data with efficient, scalable and secure AI. From athlete performance analytics to fan engagement and global event platforms, we deliver high-performance AI systems designed for real-world deployment.
Contact UsPredict injury risks and optimize athlete performance through advanced AI models trained on performance and training data.
Create intelligent fan platforms powered by conversational AI, personalized content and interactive digital experiences.
Transform complex sports data into accessible insights through AI search, analytics and conversational interfaces.
Deploy scalable AI systems capable of supporting multilingual audiences and high traffic during major sporting events.
Run powerful AI systems with reduced compute requirements using advanced model compression technologies.
Maintain full control over data and infrastructure with AI solutions deployable in private, sovereign or hybrid environments.
Multiverse partnered with Spain’s LaLiga club Real Sociedad to develop an AI system capable of detecting hidden injury risk patterns in athlete performance data. The system generated injury risk alerts 1–2 weeks in advance, with 2 in 3 alerts proving meaningful, enabling medical and performance teams to take preventive action. During the pilot phase, 1 in 3 injuries were accurately predicted and prevented.
Multiverse partnered with Bornan Sports Technology to deploy a multilingual AI assistant that gives fans instant conversational access to event schedules, results and athlete information. First launched during the Asian Youth Games 2025, the solution simplifies access to complex event data and helps increase fan engagement across digital event platforms while supporting high-traffic global sports events.
Massive volumes of match data and content to transform into engaging stories for fans.
AI systems that automatically generate match summaries, highlights, statistics and personalized content.
Difficult to measure sponsorship impact and fully understand fan engagement.
AI-driven analytics that combine fan behavior, media exposure and engagement data.
Coaching teams must analyze large volumes of match data and opponent behavior.
AI models that analyze tactical patterns, player movements and match statistics.
Analyzing large volumes of match and training footage is time-consuming and difficult to scale.
AI-powered video analysis that automatically detects actions, tactical patterns and key moments in matches.
Identifying emerging talent across leagues and competitions requires analyzing vast amounts of performance data.
AI models that evaluate player performance, development trends and potential using historical and live data.
Sports organizations must detect irregular patterns that may indicate betting fraud or match manipulation.
AI systems that monitor betting markets, match data and behavioral signals to detect anomalies in real time.
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