Ground-Based Space Object Tracking
Slingshot's Global Sensor Network (SGSN) stands out as the world's sole day-and-night LEO-to-xGEO optical sensor network, tracking spacecraft with high revisit rates from 150+ sensors across 20+ global sites. These sensors comprise gimbaled telescopes and staring arrays, as exemplified by the Horus sensor system, supporting LEO object detection and tracking at scale. The historical database captures unfolding LEO and GEO activity for post-event analysis. Eight proprietary optical sensor systems, spanning ultraviolet, visible, and shortwave infrared wavelengths, offer versatile observation capabilities. The distributed network's resilience across 20 diverse sites ensures consistent observations and improved custody.
Multi-Sensor Data Fusion
Slingshot's Multiple Frame Assignment Space Tracker (MFAST) software revolutionizes uncorrelated track processing, orbit determination, and maneuver detection by amalgamating data from various sensors. This real-time, multi-object tracking solution supports complex functions like UCT resolution, maneuver detection, breakup processing, and catalog maintenance. Offering a multi-platform executable, MFAST's physics-based methods operate seamlessly on diverse platforms, including laptops. Its applicability extends to both government and commercial use cases, thanks to robust astrodynamics algorithms and multi-hypothesis tracking scalability.
Space Modeling & Simulation
Slingshot's modeling and simulation prowess underpins essential government and commercial applications, aiding in training, planning, and operations. Featuring high-fidelity physics-based models with AI and machine learning integration, this capability recreates real and synthetic space domain scenarios convincingly. The AI Agent Training Gym, powered by PHASE, creates a large-scale simulation environment for AI agent training, capturing intricate space-based object interactions and sensor perceptions. PHASE, Slingshot's high-accuracy astrodynamics engine, offers detailed insights into past, present, and future space conditions, simulating entire satellite constellations and object-sensor interactions meticulously.
AI-Driven Training Agents
Slingshot's AI-driven training agents present a unique training environment with challenging adversaries, generating myriad scenarios in a physics-based simulation setting. These agents autonomously analyze situations, execute operations, and maneuver within the virtual domain to test trainees comprehensively. Accommodating various skill levels, AI agents provide insights into anticipated scenarios, informing realistic hardware acquisitions. The scalable training system allows rapid deployment of AI agents for simulated scenarios, enhancing operational readiness across different mission conditions.
Mission Support Services
Slingshot's Mission Support Services offer expert guidance for safe and effective space missions. With a focus on space traffic coordination and domain awareness, services include astrodynamics expertise, orbital analyst support, and software engineering. Customers benefit from Slingshot's proficient frontend and backend engineers adept at developing space-related applications and APIs. Orbital Analyst Services aid in leveraging data from the Global Sensor Network, while the astrodynamics team tackles complex challenges with advanced knowledge and support on a contract basis.