Problem & Solution

Lack of Excitement in Gameplay Predictable and static bot interactions. Gamers seek more dynamic, human-like challenges.

Dynamic AI-driven gameplay with vlm

Training human-like AI agents that adapt to real-time player behavior for unpredictable and engaging interactions.

Underutilized gamer gpu resources Billions worth of idle GPU power is wasted annually, while AI market growth demands efficient utilization.

Decentralized gpu utilization

Share and utilize idle GPU power efficiently, contributing to AI development while generating more game income.

Limited monetization opportunities for gamers With 3.32 billion gamers worldwide, most don’t see financial returns for their time and skills spent gaming.

Gamified monetization models

Enable players to lease and trade AI agents, creating new revenue streams within the gaming economy.

Lack of player engagement Gamers feel disconnected from development, resulting in games missing community-driven innovation.

A community-driven game development

Facilitate open-source collaboration between developers and gamers in AI agent training and improvement.