Matter develops ultraspectral sensors capturing thousands of spectral bands from ultraviolet to thermal infrared, revealing molecular fingerprints emitted or reflected by materials. These sensors pair with a foundational large world model using physics-informed learning and extensive data to enable AI understanding of physical reality at a molecular level. The technology supports material identification with chemical precision, prediction of system failures before visibility, safe robot object handling, infrastructure monitoring detecting issues weeks ahead, and satellite-based Earth composition mapping. Target applications span autonomous systems requiring environmental material awareness, infrastructure operators, and satellite missions. The team features CEO Vishnu Sridhar, technical experts from NASA and JPL such as Chris Chovit and Pantazis Mouroulis, and advisors including Zack Kass from OpenAI.