NC AI said on Monday it demonstrated a World Foundation Model, or WFM, for robot intelligence as it seeks to enter the global physical AI market. The company said it trained and validated the model using its own research infrastructure and recorded success rates indicating practical applicability. It said its approach generates actions from latent-space information before video generation, improving efficiency and accuracy. NC AI said it trained the WFM using 25 percent of GPU resources needed to fine-tune global state-of-the-art models and achieved up to an 80 percent success rate on key tasks.