AI for Space Domain Anomaly Detection & Characterization
AI for Space Domain Anomaly Detection & Characterization
Agatha identifies unexpected behavior in satellite operations — from uncoordinated maneuvers to patterns of life that may indicate emerging risks or system degradation. Its models are trained across historical and near–real-time data, enabling robust analysis and transparent insights.
Key Features
Outlier Detection at Scale
Detects emerging anomalies in satellite behavior through daily processing, offering early indicators before events may impact operations or mission objectives.
Pattern of Life Modeling
Builds evolving behavioral baselines for individual satellites or fleets, surfacing anomalies across space operations.
Explainable AI Insights
Alerts include contributing factors and transparency around model scoring, enabling more confident decision-making.
Modular Data Fusion
Fuses orbital and contextual data from Space-Track, the SGSN, and Seradata, with a scalable architecture designed to incorporate additional sensor phenomenologies, including radar, RF, and GNSS data.
Mission-Agnostic Deployment
Adaptable across defense, research, commercial, and regulatory missions with interoperable interfaces and API access.
Example Use Cases
Intelligence Analysts
Monitor high-interest satellites, detect behavioral shifts, and explain patterns that may indicate emerging risks or operational changes.
Fleet Operators
Identify anomalies across your fleet early, and analyze unexpected maneuvers or outages for validation and context.
Mission Assurance Teams
Correlate detected anomalies with telemetry to help assess potential hardware, software, or signal-interference causes.
Policy & Watch Centers
Track behavioral changes that may reflect geopolitical activity, coordinated maneuvers, or low-visibility operations, supported by pattern-of-life context.
Developers & Data Scientists
Ingest anomaly alerts and scores via API into analytics workflows, dashboards, or ML pipelines.
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.
Developer Docs
Centralized documentation hub for APIs and future MCP server integrations supporting Slingshot’s ecosystem. Built for engineers, integrators, and researchers building with Slingshot data.