Vision infrastructure for the future
Matter is building a new vision ecosystem that pairs the world's first ultraspectral sensor with a foundation AI model that understands the physical world at a molecular level.
Current vision systems see only surfaces - detecting shapes and colors while missing the chemistry, temperature, and material properties that define physical reality.
Matter is building vision infrastructure that changes this. Our ultraspectral sensors capture thousands of spectral bands from deep ultraviolet to thermal infrared, revealing the unique molecular fingerprints that all matter emits or reflects. This isn't just higher resolution, it's an entirely different kind of information - one that enables AI to understand what things are made of, not just what they look like.
We're pairing this breakthrough sensor technology with a Large World Model, which combines physics-informed learning with unparalleled data. The result is a universal intelligence layer for physical reality - one that can identify materials with chemical precision, predict system failures before they're visible, and enable robots to safely handle any object they encounter.
From autonomous systems that need to understand their environment at a material level, to infrastructure monitoring that spots failures weeks in advance, to satellites mapping Earth's composition in unprecedented detail - Matter's technology bridges the gap between visual pattern recognition and physics-based reasoning.
We're not just improving computer vision. We're giving machines the ability to perceive the world as it truly is.