Building the World Layer Where Machines Learn to Think.

Antim Labs is building game-based training grounds for intelligent systems. Our approach starts with games because they distill the messy complexity of the real world into tight loops of perception, reasoning, and action. We design configurable environments optimized for exploration, long-horizon decision-making, and coordination, and we pair them with rich human gameplay and reasoning traces from our AI entertainment and gaming platform 4Wall AI. By logging not just what players do, but why they do it, we create training corpora that teach systems to align with human taste and judgment, not just maximize rewards.

We collaborate with model-training teams and AI agent companies to plug these worlds and datasets into their training and evaluation stack, helping them stress-test agents, surface blind spots, and unlock capabilities that static text data can’t reach.

Our mission is to be the world layer for machine intelligence: a continuously evolving supply of environments and human reasoning that lets intelligent systems learn, adapt, and close the gap to human-level intelligence.