We bring together multi-modal data to identify flaws and maintenance needs on a near real-time basis.
We use multi-sensor data fusion and neural networks to identify features of interest such as power lines, burned areas and roof damage, and monitor critical infrastructure through automatic change detection algorithms.
We utilize deep layering and neural networks to detect flaws in X-Ray CT-scanned images of additively manufactured
and other mission-critical hardware.
We merge computer vision with low SWaP processors to provide real-time capabilities for dimensional and other types of
Our highly-integrated, semi-custom spacecraft architecture enables high payload volumes and responsive flexibility for a wide range of sensors.
We bring together hardware, software, and systems design expertise to enable a new level of GNC performance for launch vehicles, spacecraft and other platforms.