Marketing Personalization · Real-time Analytics
Machina Sports needed to deliver low-latency live-sports experiences to large concurrent fan audiences while staying flexible enough to swap models, ground answers in fresh information, and expand multimodal features without stitching together multiple AI vendors.
Reported impact
Machina Sports expanded to a large fan audience, improved live-response speed, and created a single Google Cloud environment for grounded, multimodal sports experiences that can keep evolving as concurrency grows.
Machina Sports built its fan-engagement platform on Google Cloud using Gemini Enterprise Agent Platform and related Gemini services as the core of a live, multimodal sports experience. Gemini Flash Lite handles fast conversational responses during matches, while Grounding with Google Search brings in fresh updates and Model Garden gives the team a simple way to test and switch models without rewriting code. Cloud Storage backs content and assets, and Gemini's Context Caching reduces repeated prompt-processing overhead during long fan sessions. The team also uses Priority Pay-As-You-Go endpoints to shave response wait times and is extending the platform with Google Kubernetes Engine for custom open models and future features such as personalized AI audio commentary and what-if match simulations. This unified stack lets Machina Sports keep latency low during live events while expanding richer fan experiences on one platform.
Fan prompts reach Gemini agents during live events, where Grounding with Google Search adds fresh match context and Cloud Storage supplies supporting assets. Gemini Flash Lite returns fast responses, Context Caching minimizes repeated prompt processing, and future custom models on GKE will extend the same experience with richer multimodal features.
Gemini models were over 30% faster in delivering that first response compared to competing options
Gemini's Context Caching prevents the AI from re-processing long background prompts on every reply.
Machina Sports uses Gemini Enterprise Agent Platform to deliver live-sports experiences for 1.6 million fans
Model Garden on Google Cloud allows engineers to test and swap out AI models by changing simple settings instead of rewriting code from scratch.
Priority Pay-As-You-Go endpoints shaved up to 17% off response wait times.
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