Space-based RF signal detection and autonomous satellite processing systems
ULOOK builds autonomous RF sensing platforms for orbital and airborne signal detection, drawing on a founding team with NASA heliophysics and satellite communications experience. The tech stack—C/C++, Python, embedded RTOSes (FreeRTOS, Zephyr, RTEMS), and MATLAB—reflects a hardware-constrained, real-time signal processing focus. Current project velocity centers on in-orbit autonomous detection, sensor fusion, and edge ML inference under strict compute budgets, with active pain points around algorithm validation on real RF data and optimizing models for resource-constrained spaceborne hardware.
ULOOK, founded in 2024, develops space-based RF intelligence systems that detect and interpret signals across ground, air, maritime, and space domains. The company is based in Bangalore and operates as a small, engineering-focused team. Their platform combines RF signal processing, autonomous mission control, and geolocation capabilities, targeting defense and intelligence applications. Current development priorities include autonomous in-orbit signal detection, space-grade embedded system integration, and custom ML models for RF classification—all designed to operate under the extreme power and compute constraints of orbital platforms.
Core languages: C/C++ and Python. Embedded platforms: FreeRTOS, Zephyr, RTEMS, and Yocto/Buildroot Linux variants. Modeling and validation: MATLAB. Design tools: Figma and Adobe Creative Suite. Version control via Git.
Autonomous in-orbit signal detection and processing, space-grade embedded platform integration, sensor fusion algorithms, custom ML models for RF signal classification, and edge AI deployment for spaceborne systems operating under strict compute constraints.
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