Unveiling the Next Evolution of AI in Sports & Entertainment Marketing at NVIDIA GTC 2025
(GumGum Sports Inc.) Relo Metrics, a leading AI-driven sponsorship analytics platform, today announced the adoption of key NVIDIA technologies into Relo Census and Relo Edge (formerly known as Media Value Center) redefining how sponsorship impact is analyzed and optimized in sports and entertainment. Relo Census and Relo Edge will leverage the latest advancements in computer vision, AI-driven automation, and real-time analytics to accelerate AI-powered sponsorship intelligence.
Allied Market Research shows sports sponsorship is projected to reach $151.4 billion by 2032. As this sector continues its rapid growth, brands, media companies, and rights holders are seeking more efficient, precise, and scalable ways to measure ROI. The collaboration between Relo Metrics and NVIDIA accelerates the deployment of AI-powered sponsorship intelligence, enabling real-time, data-driven decision-making across the sports ecosystem. With major global events on the horizon, including the 2026 FIFA World Cup, the 2028 Summer Olympics in Los Angeles, and expanding Formula 1 and UFC schedules, organizations have the tools they need to maximize the value and impact of their sponsorships.
Introducing the Next Generation of AI-Powered Sponsorship Analytics
At NVIDIA GTC 2025, Relo Metrics CEO, Jay Prasad will unveil how the company is leveraging NVIDIA NV-CLIP NIM microservices to track, analyze, and optimize sponsorship visibility through an advanced multi-modal AI model across various sports leagues and media environments.
This will enable innovation that provides:
- Automated Logo Detection – Identifying and categorizing brand placements in real-time, from stadium signage to athlete apparel.
- AI-Driven Impact Measurement – Using deep learning models to assess brand visibility and ROI, ensuring sponsors maximize the investment value.
- Advanced Video Summarization & AI Agents – Moving beyond traditional dashboards, AI-powered sponsorship optimization automates insights and next-best actions.
By teaming up with NVIDIA, Relo Metrics is taking its AI-powered sponsorship measurement to the next level. With the ability to train, deploy, and run AI models at scale, Relo Metrics can now process millions of sponsorship placements in real-time. This breakthrough is about transforming data into meaningful revenue insights. For brands, that means a clearer connection between sponsorship investments and their bottom line, unlocking new opportunities to maximize value.
“We are in the midst of a major AI transformation in sports,” said Jay Prasad, CEO of Relo Metrics. “This isn’t just about improving sponsorship measurement, it’s about redefining how brand value is tracked, quantified, and monetized at scale. By accelerating our patented AI-driven computer vision and sponsorship analytics with NVIDIA AI, we are unlocking unprecedented speed and efficiency in data processing, real-time valuation, and automated sponsorship asset optimization. This accelerates the time to market for advanced software and multi-modal tools, ensuring that key players in the sports and entertainment ecosystem can make more strategic decisions.”
To double memory capacity and throughput, and train on larger datasets more efficiently, Relo Metrics transitioned from FP32 to BF16 precision on NVIDIA H100 GPUs. H100’s Transformer Engine was pivotal in further accelerating training for transformer-based models, achieving up to 6X speedup in large-scale AI training.
Strategic Go-to-Market Initiative
Beyond this technology, Relo is expanding AI-powered sports data analysis into new markets including:
- Global sports leagues and rights holders – Delivering real-time sponsor valuation, exposure tracking.
- Brands and agencies – Providing data-driven sponsorship measurement to refine marketing decisions.
- Streaming and broadcast platforms – Integrating computer vision insights to offer a more complete picture of audience engagement across media channels.