While conventional machine vision is limited to identifying objects by appearance, the ability to determine a material’s intrinsic composition has been historically hindered by the prohibitive cost and size of traditional Short-Wave Infrared (SWIR) sensors. STRATIO is breaking this barrier with Infrared-AI™, a paradigm that fuses advanced machine learning with a proprietary, cost-effective Germanium-on-silicon SWIR sensor. Our technology captures an object’s unique “spectral fingerprint”—its molecular signature in the 900-1700 nm range—which our AI models use for high-accuracy, real-time material classification. This leap from simple appearance to a deep, composition-based understanding unlocks transformative applications. It enables high-speed polymer sorting for a circular economy, non-destructive pharmaceutical authentication to fight counterfeiting, rapid soil analysis for sustainable agriculture, and provides autonomous systems with robust vision through fog, dust, and other obscurants where visible light and LiDAR fail. By fusing accessible SWIR hardware with sophisticated AI, STRATIO is democratizing a new class of material-aware intelligence, poised to drive significant advancements in industrial automation, environmental monitoring, and public safety.
