Conduct your most critical space security and defense missions using a holistic and dynamic common operating picture of the space domain.
Slingshot provides defense and intelligence agencies around the world with mission-critical space domain awareness data, object behavior insights, and modeling & simulation tools.
Slingshot combines data, analytics, and modeling & simulation to create a common operating picture for planning, executing, and assessing national security space operations.
Machine learning and physics-based models provide actionable insights into events and satellite behavior patters in near real-time.
Leverage the world’s only optical day/night LEO-to-xGEO space object tracking network to monitor spacecraft of interest across regimes with the Slingshot Global Sensor Network.
The Slingshot Platform combines data from the Slingshot Global Sensor Network, the Slingshot Seradata space database, satellite owner-operators, and other third-party space data providers to create a unified view of the entire space domain.
Slingshot's high-accuracy simulation engine empowers operators to create and evaluate simulated scenarios involving digital representations of real and/or synthetic space and ground assets.
Create intuitive visualizations based on synthetic virtual representations of space and ground assets, driven by high-accuracy models.
Build interactive and accurate representations of defense scenarios to evaluate courses of action and downstream effects – accounting for all relevant players within the operational domain.
Machine learning and physics-based models provide actionable insights into active space events and satellite behavior in near real-time – providing automated flagging of anomalous behavior without requiring prior cues or tasking.
Slingshot’s pattern of life insights use satellite characteristics, orbital analytics, and maneuver detection and classification to offer detailed and actionable insights on operationally-relevant timelines.
The neighborhood watch insights analytic provides near real-time information about clusters of satellites in the GEO belt. The algorithm evaluates the general characteristics of grouped satellites (“neighborhoods”) and monitors for changes in those groups.
Identify anomalous spacecraft behavior and uncover hidden insights with a scalable machine learning algorithm that detects subtle differences between object behavior across large space datasets with built-in explainability.
The Slingshot Global Sensor Network provides around-the-clock tracking of spacecraft and debris from the world’s only optical day/night LEO-to-GEO spacecraft and debris tracking network.
Our high-quality astrometric data fuels many derived data products such as state and covariance estimates, ephemerides, CDMs, maneuver detections, and other types of physical and behavioral characterization insights. Photometric data can be used to detect and identify anomalous behaviors and characterize space objects.
Maintain custody of active spacecraft and space debris across regimes to ensure up-to-date cataloging and improved space domain awareness regardless of where an object of interest maneuvers.
Slingshot analysts, engineers, and subject matter experts can support your team remotely and/or on the ops floor to ensure mission success.
Slingshot is a trusted partner for space domain awareness data and tech-enabled services to global space security and defense missions – keeping space safe and secure for all.
Slingshot is a charter member of a critical cell providing commercial LEO and GEO optical SDA data from Slingshot Global Sensor Network and associated analytics to key Space Force missions.
Slingshot's Multiple Frame Assignment Space Tracker (MFAST) has been fielded in operational systems for over 5 years and Slingshot personnel are on the operations floor ensuring mission success.