Digital Space Twin | Slingshot Aerospace

Real-Time Orbital Visualization

The Slingshot Digital Space Twin (DST) is an interactive 3D visualization platform that transforms orbital data into operational understanding. Users can switch between Space-Track.org data or near real-time orbital data based on SGSN observation feeds to explore, analyze, and model orbital activity with mission-ready awareness.

Key Features

Example Use Cases

Government & Defense

Compare Space-Track and SGSN orbital data to validate conjunction alerts, then visualize anomalous objects identified by Agatha AI to support mission-assurance workflows.

Fleet Operators

Monitor satellites in near real time, replay recent maneuvers, and visualize predicted conjunctions.

Analysts & Researchers

Explore orbital drift patterns, compare predicted trajectories across data sources, and use Seradata metadata for ownership context or reliability assessment.

Featured Capabilities

Seradata

The industry’s trusted source for satellite, launch, and space event intelligence. With a continuously updated catalog and deep historical archive, it’s the go-to reference for insurers, operators, and analysts worldwide.‍

Agatha AI

AI-driven insights engine for detecting, analyzing, and explaining anomalies in space object behavior. Leverages advanced analytics and machine learning to identify outliers, trends, and emerging risks early enough to support informed operational decisions.

Data Catalog

Central data hub connecting the Slingshot Global Sensor Network (SGSN) and Sovereign Space Object Tracking (SSOT). Provides continuous, high-precision orbital intelligence through near real-time sensor data, advanced processing, and on-demand tasking for mission-ready awareness.