Ground-Based Space Object Tracking
Slingshot's Global Sensor Network (SGSN) stands out as a premier optical sensor network that offers unparalleled day and night spacecraft tracking capabilities. With over 150 sensors dispersed across 20 global locations, the SGSN ensures high-revisit-rate tracking from low Earth orbit (LEO) to geostationary orbit (GEO). This network comprises both gimbaled telescopes and staring arrays, like the Horus sensor system, tailored for LEO object detection and tracking. The historical database maintained by Slingshot's SGSN records millions of observations, providing valuable post-event analysis resources.
Multi-Sensor Data Fusion
The Multiple Frame Assignment Space Tracker (MFAST) software developed by Slingshot facilitates advanced and scalable uncorrelated track processing, orbit determination, and maneuver detection by consolidating data from diverse sensors and sensing modalities. MFAST, a real-time and multi-sensor solution, supports functionalities such as uncorrelated track resolution, breakup and closely-spaced-object processing, maneuver detection, catalog maintenance, and object discovery. Thanks to physics-based complexity reduction methods, MFAST is versatile enough to run on various platforms, including laptops.
Space Modeling & Simulation
Slingshot's modeling and simulation capabilities are foundational for numerous government and commercial applications in training, planning, and operations. Leveraging high-fidelity physics-based modeling, artificial intelligence, and machine learning models, Slingshot enables accurate simulation of real and synthetic objects across the space domain. The PHASE simulation engine powers the synthesis of a large-scale training environment for AI agents, facilitating the training of these agents to scrutinize the intricate interactions between space-based objects and terrestrial sensors.
AI-Driven Training Agents
Slingshot's AI-driven training agents are designed to provide realistic and challenging adversaries in a physics-based simulation setting, ensuring a diverse array of training scenarios. These agents autonomously assess situations, perform operations, and execute maneuvers to execute long-term strategies within a virtual environment. The scalable AI agent training system allows rapid training and deployment for scenarios across various applications, offering autonomous adversaries to test advanced courses of action under simulated conditions.
Mission Support Services
Slingshot's Mission Support Services guarantee the safety and success of space missions by providing functional and subject matter expertise in areas such as space traffic coordination and space domain awareness. Services range from astrodynamics to orbital analyst support and software engineering, ensuring customers benefit from Slingshot's skilled teams, whether in developing applications for space operations or analyzing data from the Global Sensor Network for mission advancement.