Processing Suite | Slingshot Aerospace

Transforming Observations into Operational Intelligence

Slingshot’s advanced processing and fusion tools transform raw orbital data into actionable space awareness. By correlating multi-sensor inputs, determining orbits, and assessing predicted conjunctions, these capabilities form the analytical backbone of Slingshot’s operational infrastructure.

Overview

Slingshot’s Data Processing Suite supports high-precision space domain awareness by integrating multi-sensor data fusion, high-fidelity propagation, and advanced conjunction assessment. This modular suite enables operators to rapidly detect, track, and characterize orbital behavior across all regimes. Each component is designed to work independently or in concert, supporting mission-relevant workflows such as custody establishment, event response, maneuver detection, and operational planning.

Services

Multiple Frame Assignment Space Tracker as a Service (MFASTaaS)

MFASTaaS fuses multi-phenomenology sensor observations to produce high-quality orbital state vectors through a hosted data fusion engine based on Slingshot’s government- and industry-validated MFAST software. MFASTaaS provides users with reliable, frequently updated fused orbital state estimates on both known and unknown objects — essential for conjunction analysis and follow-on actions (e.g., maneuver planning). This enables:

PropaaS — Cloud-Based Ephemeris Generation

Propagation as a Service (PropaaS) allows users to generate predicted ephemerides on demand using Slingshot’s internal high-fidelity orbital propagation models and provided initial state data. PropaaS accelerates mission operations by giving users control over their own orbital propagation-based workflows. This enables:

Tools

Multiple Frame Assignment Space Tracker (MFAST)

Multiple Frame Assignment Space Tracker (MFAST) is Slingshot’s advanced engine for near–real-time multi-sensor, multi-object tracking. It supports uncorrelated track (UCT) processing, initial and orbit determination (IOD/OD), and maneuver detection. Core capabilities include:

High-Fidelity Propagation Engine

Built on implicit Runge–Kutta numerical methods, this engine delivers dynamic, physics-based orbital propagation with high fidelity — including support for drag modeling and maneuver insertion. IRKProp is used to support mission-relevant forecasting workflows, near–real-time tracking updates, and risk analysis. This includes:

Conjunction Assessment Toolkit

This modular engine provides conjunction assessment and probability of collision estimation, and can process CDMs, VCMs, and raw ephemerides. It underpins Slingshot’s conjunction alerts, supports Agatha AI with contextual orbital data, and enables automated fleet-monitoring workflows. This enables:

Experience the Slingshot Advantage

Operators worldwide rely on Slingshot’s industry-leading AI, data, and insights to support mission-critical training, planning, and operations.