Observational & Analytical Insights
Slingshot's space domain awareness solutions offer a comprehensive approach to observational and analytical insights. By utilizing persistent space object tracking, advanced space data fusion, and machine learning-driven object behavior insights, Slingshot provides a powerful tool for tracking specific spacecraft over the long-term and monitoring active space events in real-time.
LEO-XGEO Space Object Tracking
With the Slingshot Global Sensor Network, users can access astrometric and photometric insights day and night from Low Earth Orbit (LEO) to geostationary orbit (xGEO). This extensive tracking capability offers a holistic view of space objects for enhanced awareness and analysis.
Sensor Data Fusion
Slingshot's proprietary software, the Multiple Frame Assignment Space Tracker (MFAST), enables advanced uncorrelated track processing, orbit determination, and maneuver detection through sensor data fusion. By integrating data from multiple sources and modalities, Slingshot ensures accurate and efficient tracking of space objects across different regimes and scenarios.
ML-Driven Object Behavior Insights
Machine learning-driven object behavior insights provided by Slingshot offer near real-time understanding of satellite behavior. This sophisticated analysis allows for the identification of patterns of life, neighborhood watch insights, and outlier spacecraft behavior, providing valuable intelligence for space domain awareness and security.
Customer Missions
Slingshot's solutions are trusted by government agencies worldwide to advance space domain awareness. Leveraging optical observation data and advanced space data fusion capabilities, Slingshot supports customers in enhancing their understanding of the space domain and improving operational efficacy.