Global Coverage. Taskable Collection. Fusion-Ready Data.

Slingshot Global Sensor Network (SGSN) is an evolving, multi-phenomenology sensor ecosystem designed to support space domain awareness at operational tempo. By combining diverse sensing modalities and geographies with on-demand tasking and integrated processing, SGSN helps teams collect, validate, and act on orbital information with greater confidence.
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Trusted Performance.
Operational Scale.

93%
Objects Tracked within 5 days
10M+
Observations Per Day
LEO-xGEO
Multi-Regime Coverage
24×7×365
Day & Night Operations

Key Features

Multi-Phenomenology Sensing

Combine complementary sensor modalities to reduce ambiguity and improve confidence in characterization and follow-up.

Tasking-First Collection Workflows

Submit on-demand collection requests to support event-driven operations and targeted object follow-up—not just passive surveillance.

Global Geographic Diversity & Resilience

Distributed sites across varied geographies increase coverage options, reduce single-point dependency, and improve responsiveness across orbital regimes.

Fusion-Ready Outputs

Observations are designed to feed downstream processing and fusion workflows—supporting higher-quality orbital state estimates and analytics.

Integrated with Slingshot Applications

SGSN connects directly into Slingshot’s broader ecosystem (data catalog, analysis, visualization, conjunction workflows), shortening the path from observation to decision.

Operational Transparency & Provenance

Collection context and data lineage support defensible analysis, auditability, and coordination across teams and stakeholders.

Scales As New Sensors Come Online

SGSN is expanding—adding sites, partners, and automation over time to increase coverage, responsiveness, and analytic depth.

Supports Sovereign & Commercial Deployments

Flexible integration paths support commercial operations and sovereign mission needs (deployment models vary by program).

More Sensors. More Sites.
More Orbit Regimes.

Slingshot's Global Sensor Network (SGSN) is built as a layered hardware-and-software system—combining diverse sensor architectures with precision processing to deliver decision-ready space intelligence at scale.
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A Diverse, Purpose-Built Sensor Fleet

SGSN combines gimbaled, cued telescopes and staring, uncued optical arrays operating across visible, SWIR, and NIR bands. This layered hardware approach supports day and night operations, targeted follow-up, and persistent monitoring from LEO through xGEO—all within a single global network.
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Capabilities Others Can’t Match

By combining wide-field survey systems with narrow-field, high-precision follow-up telescopes in the same network, SGSN supports observation workflows that enable higher-confidence orbit determination, event characterization, and custody maintenance. This combination—spanning uncued detection to precision characterization—is foundational to the accuracy and reliability of Slingshot’s orbital intelligence.
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Hardware Integrated Into the Processing Stack

SGSN observations flow directly into Slingshot’s processing, fusion, and analysis suite, where raw measurements are refined through orbit determination, propagation, and multi-sensor fusion. This tight integration ensures sensor data is not just collected—but transformed into high-quality orbital states, conjunction assessments, and mission-ready analytics without manual handoff or external stitching.

Featured Capabilities

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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.
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Tracking Data

On-demand orbital tracking service for specific objects and event-driven observations. Task sensors, submit custom data requests, and receive curated results powered by Slingshot’s tasking and tracking infrastructure.
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Processing, Fusion and Analysis Tools

Processing and fusion systems that transform raw sensor observations into high-fidelity orbital products and actionable insights.