Space Object Tracking Data
Slingshot's Global Sensor Network provides comprehensive, accurate, and actionable tracking data for satellite operators, defense agencies, and space agencies. With 20+ global sensor locations and 150+ day/night optical sensors, the network offers high-revisit rate tracking and dedicated orbital analyst support for active space events like maneuvers and launches. The astrometric data derived from the network fuels state estimates, ephemerides, and behavioral insights.
Spacecraft & Launch Database
Slingshot Seradata offers detailed data on launch attempts and spacecraft deployed into orbit, updated daily for an up-to-date industry view. Customers leverage this database to analyze industry trends, launch activity, failure rates, and more. The database includes construction orders, mission details, anomalies, launch specs, and future planned launches.
Conjunction Assessment Data
Slingshot's commercial space object catalog allows for screening conjunctions based on operational needs. Users can upload ephemerides for mission planning and risk assessment. By providing GNSS telemetry, users can generate orbit determination states for conjunction screening and risk evaluation. Additionally, the optical observation data enhances conjunction understanding by providing raw observations and predicted ephemerides via APIs.
Pattern of Life Insights
The Pattern of Life Insights tool combines satellite descriptors, orbital data, and maneuver detection to offer detailed insights into spacecraft behavior. Users receive alerts when behavior changes occur, historical reports, and analysis of future actions. The tool provides pattern summaries, maneuver detection, and mission phase change detection for better situational awareness.
Neighborhood Watch Insights
The Neighborhood Watch Insights tool offers real-time information on satellite clusters in the GEO belt. By monitoring neighborhood characteristics, behavior changes, and new arrivals, operators can improve space domain awareness. Reports on neighborhood shifts, inspector satellite monitoring, and high-interest watchlists enhance monitoring capabilities.
AI Outlier Spacecraft Insights
Slingshot's Agatha AI uses advanced algorithms to monitor and identify outlier satellites within constellations. Developed in collaboration with DARPA, Agatha detects anomalous behavior and provides explainable insights to operators. With parallelized analytics and scalable architecture, the tool efficiently processes large datasets, making informed decisions on unique spacecraft behaviors.
Radio Frequency Signal Insights
Slingshot's RF Signal Insights enable detailed analysis of radio frequency signals in space. By leveraging RF data, operators can gain valuable insights into spacecraft communication, behavior, and anomalies. The tool provides a deeper understanding of signal patterns, facilitating improved decision-making and operational efficiency in space missions.