Com2uS Platform Introduces Hive Axyl at ‘OpenAI Game Builder Challenge’ in Tokyo
Com2uS Platform, a subsidiary of Com2uS Holdings, announced on Sept. 28 that it introduced Hive Axyl, its next-generation backend platform for AI game development, at the finals of the “Tokyo AI (TAI) | OpenAI: 100-Hour Game Builder Challenge” in Tokyo.Hosted by Tokyo AI (TAI) and supported by OpenA
Com2uS Platform, a subsidiary of Com2uS Holdings, unveiled Hive Axyl, its cutting-edge backend platform for AI game development, at the finals of the “Tokyo AI (TAI) | OpenAI: 100-Hour Game Builder Challenge” held in Tokyo on September 28. Organized by Tokyo AI (TAI) with support from OpenAI, the challenge challenged teams to spend 100 hours crafting AI-driven games and game-building AI tools using OpenAI’s Codex.
Jinyong Kim, President of Com2uS Japan, addressed the finals, elaborating on OpenAI Game Builders Seoul and presenting the strategy “Build with Codex, Play with Hive.” Attendees included representatives from Korean and Japanese tech and investment firms, such as CRIT Ventures and LY Corporation. Kim introduced Hive Axyl's comprehensive end-to-end backend services, which start from the initial game launch and extend to live service management.
He highlighted that Hive Axyl is designed to remove backend complexities from developers' minds, allowing them to concentrate entirely on creating engaging content. Kim expressed optimism that Hive Axyl would be instrumental in ensuring the games developed during the challenge achieve commercial success. Hive Axyl, slated for a September 30 launch, is a state-of-the-art backend platform for AI game development that integrates with Codex via a plugin.
With this plugin, developers can employ natural language prompts to link backend functionalities like initial setup, authentication, payments, analytics, and live operations. Post-launch, developers will be able to install the plugin by adhering to the instructions provided on Com2uS's developer portal.
Written by urgent.news from BusinessKorea's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.