Industry: Media and Entertainment
Goal: Real-time sports analytics
GameScript is a next-generation sports analytics platform delivering real-time, data-driven insights that fuse AI-generated predictions with human subject matter expertise. With SurrealDB's unified multi-model engine, GameScript rapidly delivered a high-scale, low-latency system that ingests dynamic sports data and powers personalised analysis streams, without the need for a complex polyglot stack.
Sports odds change moment by moment, requiring a dynamic data model.
GameScript ingests millions of writes per game, demanding real-time throughput.
AI predictions and human analyst comments must appear instantly in one view.
Multiple databases would slow development and increase complexity.
SurrealDB's graph-native and document-aware architecture let GameScript model users, AI insights, and annotations without multiple systems.
SurrealQL blends relational joins, graph traversals, and vector search with live queries and field-level ACLs for instant, secure content.
The Surrealist UI and embeddable Rust binary accelerated prototyping and deployment across new sports markets.
SurrealML powers in-database inference so GameScript avoids a separate ML stack, delivering sub-100 ms latency at massive scale.
Delivered a production-grade platform in record time with SurrealDB as the single, unified backend.
Handles millions of writes with sub-100 ms latency thanks to a horizontally scalable architecture.
Eliminated the need for separate vector, document, and graph stores—radically simplifying the stack.
Enabled rapid rollout of new sports markets with minimal schema overhead or rework.
GameScript regularly processes low-latency events leveraging the performance of Rust. SurrealDB was a natural choice in that environment offering GameScript the agility and simplification needed to build a real-time, AI-powered platform from the ground up. With its native support for multi-model data, reactive queries, and embedded inference, GameScript avoided the architectural sprawl common in similar builds. SurrealDB's lightweight deployment and scalable design meant the team could focus on features and market growth, not operational overhead. Looking forward, GameScript plans to expand into generative AI and GPU-backed inference, continuing to leverage SurrealDB's in-database ML capabilities.
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