Imagine stepping directly into your scientific data, transforming abstract volumetric datasets into tangible, explorable realities. Our approach offers a seamless pipeline, beginning with raw volumetric data, moving through sophisticated preprocessing, and then applying cutting-edge AI-based semantic segmentation using unsupervised, supervised, and weak-supervised methods to extract meaningful structures. This detailed segmentation then fuels the generation of precise 3D meshes, culminating in an unparalleled immersive visualization experience within platforms like Meta Quest. This isn't just viewing data; it's interacting with it in a truly spatial way, uncovering hidden patterns and fostering new insights in a collaborative, "metaverse"-like environment where scientific discovery is no longer confined to flat screens, but unfolds within a shared, interactive digital space.