Ozni AI's research division pushes the boundaries of AI, signal processing, and sensor fusion technology for defense applications. Our team publishes findings and collaborates with leading institutions to advance the state of the art in contested environments.
FOCUS AREAS
Advanced Signal Processing & Geolocation
Novel algorithms for emitter detection, characterization, and geolocation in complex electromagnetic environments. Research into multipath exploitation, TDOA/FDOA techniques, and urban signal recovery methods that push beyond the limits of conventional RF processing.
GEOINT Rare Object Detection
Algorithm development for detecting rare and hard-to-find objects in overhead imagery — solving the needle-in-a-haystack challenges that define the hardest problems in geospatial intelligence. Few-shot learning, synthetic data augmentation, and domain adaptation for operationally relevant detection at scale.
Satellite Constellation Mission Management
Mission scheduling and resource allocation algorithms for proliferated satellite constellations. Optimizing collection plans, sensor tasking, and downlink windows across large heterogeneous constellations to maximize intelligence yield under tight orbital and power constraints.
Alternative UAS Detection Phenomenologies
Research into novel detection modalities for small UAS threats, including the use of VLF wave propagation to detect quadcopter motor emissions. Exploring non-traditional sensing approaches that complement conventional radar and EO/IR systems for robust counter-UAS defense.
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