Nexon Builds Monolake Data Lake for AI-Ready Game Operations
Nexon is treating proprietary game data, not AI models, as its core competitive advantage, building a unified infrastructure that lets staff and AI alike query context-rich information directly.
Reporting from 1 sources: 4Gamer.net.
At NDC 26, Nexon detailed its Monolake data platform, which consolidates all game data into a single Snowflake-based lake. The company is now moving to Monolake 2.0, focusing on ontology-driven data that both humans and AI can use, with tools like AI Search and active anomaly detection already in internal testing.
Nexon is betting that its own game data, not the latest AI model, is what will set it apart in the coming years. At the Nexon Developers Conference 26, technical leaders described Monolake, a company-wide data lake built on Snowflake that aggregates everything from gameplay databases to unstructured business records into a single view. The first phase, Monolake 1.0, aimed to give every employee easy access to data, cutting costs by 25% and improving performance 17-fold. Now the company is rolling out Monolake 2.0, which adds ontology layers that define terms like 'revenue' and 'DAU' and map relationships between data points, making the lake usable by AI agents as well as human analysts.
Synthesized by Yomimono from the 1 cited source below, including Japanese-language reporting where cited, then editorially reviewed before publishing.