Uni-Flow is a research model that uses machine-learning to predict and capture complex fluid or physical flow dynamics over long timescales, enabling more realistic perception and simulation for robotics and autonomous-system applications. It provides end-to-end flow estimation that can be integrated with other real-time physical AI pipelines.