
Kayhan Space continues to expand access to space domain awareness and orbital intelligence through the Satcat platform, a comprehensive space object data aggregation and intelligence exchange system designed for satellite operators, space professionals, researchers, students and enthusiasts. Satcat integrates real-time and historical orbital data, operational tools, and advanced analytics into a unified environment focused on improving transparency, safety and coordination in Earth orbit. As orbital congestion increases and satellite constellations scale rapidly, the need for accurate, accessible and actionable spaceflight intelligence becomes critical. Satcat addresses this requirement by centralizing information about resident space objects (RSOs), conjunction events, satellite activity and orbital dynamics into a single platform designed for both operational use and educational engagement.
Satcat is designed as an industry-leading spaceflight intelligence exchange that aggregates real-time and historical data for objects and events in Earth’s orbit. The platform streamlines how users search, reference and analyze information relating to orbital objects and activities. By consolidating diverse datasets into a unified interface, Satcat enables users to access information that would otherwise be fragmented across multiple sources. The platform supports a wide range of use cases from professional mission operations and collision avoidance planning to academic research and general space exploration interest. Satcat Operations delivers combined flight dynamics and space traffic coordination services within a unified operational environment. Satellite operators can receive precise tracking of both their own assets and secondary objects, enabling improved situational awareness and maneuver planning. The platform supports autonomous coordination of maneuver responsibility and conjunction event mitigation at the machine-to-machine level. These coordination processes are aligned with user-defined preferences, established industry best practices, and commonly endorsed for safe orbital operations. By integrating tracking precision with automated coordination workflows, Satcat Operations enhances decision-making efficiency for collision avoidance and orbital safety.
Satcat Directory: Comprehensive Space Object Repository

Satcat Directory serves as one of the largest repositories of space object information, providing searchable data on active and decayed objects in orbit. Users can conduct advanced searches based on parameters such as orbital regime, object type, operational status or ownership. The directory simplifies research and operational planning by enabling structured queries and rapid data retrieval. This capability supports analysts, operators, and researchers who require reliable reference data for mission assessment and orbital awareness.
Satcat Simulation: Interactive Training and Mission Analysis

Satcat Simulation provides an interactive environment for hands-on operations training using real-world orbital scenarios. Through tools such as simulated constellations, orbital datasets, and mission analysis capabilities, users can explore the complexities of satellite deployment and constellation design. The simulation environment supports educational use and professional development by enabling experimentation with orbital mechanics, mission configurations, and safety strategies. Interactive 2D and 3D visualizations enhance spatial understanding, making complex orbital dynamics more intuitive.
Satcat Intelligence: AI-Powered Space Domain Awareness

Satcat Intelligence integrates artificial intelligence to detect threats, predict orbital behavior and analyze satellite activity patterns. The system provides real-time alerts on detected maneuvers, anomalies or emerging conjunction risks. With customizable watch lists and advanced pattern-of-life analysis, Satcat Intelligence allows users to monitor specific assets or orbital regions. The AI-driven framework enhances proactive risk mitigation by identifying unusual activity and forecasting potential hazards before they escalate into operational conflicts.
Satcat LEOP: Early Operations and Deployment Support

Satcat LEOP supports satellite deployment and early orbit operations by providing precise orbit data, rideshare visualization and real-time conjunction risk screening. During launch and initial orbital insertion, accurate situational awareness is essential for mission assurance. The platform assists operators in understanding deployment geometry, proximity events and early-stage collision risks, helping ensure smoother commissioning and safer early operations.
Satcat Launch: Rapid Launch Conjunction Assessment

Satcat Launch provides rapid collision detection between launch vehicles and resident space objects. The system completes screening processes in under one minute and generates detailed conjunction analysis reports identifying safe and unsafe launch windows. By proactively notifying operators of high-risk events, Satcat Launch contributes to safer launch operations and improved coordination between launch providers and satellite operators.
Orbit Designer: Interactive Orbital Engineering Tool
The Orbit Designer tool enables intuitive exploration of satellite behavior and orbital mechanics. Users can design and simulate orbital configurations across Low Earth Orbit (LEO), Geostationary Orbit (GEO), Molniya and Sun-Synchronous Orbit (SSO), adjusting parameters to reflect real-world mission dynamics. Through integrated 2D and 3D visualizations, users can analyze trajectories from multiple reference frames, supporting deeper understanding of orbital relationships and spatial geometry. This tool serves both professional mission planners and educational users seeking interactive insight into orbital design.
Satcat’s Conjunctions capability offers daily catalog-versus-catalog screening results using Two-Line Element (TLE) data, enabling broad situational awareness of potential close approaches between resident space objects. For operators requiring higher precision, Satcat Operations supports more advanced conjunction assessments using non-public ephemerides. The Business Directory enhances transparency by providing verified ownership and operator information for satellites. This feature supports networking opportunities, partnership development and clearer accountability within the space ecosystem.
Through Satcat’s integrated modules—Operations, Directory, Simulation, Intelligence, LEOP, Launch,and Orbit Designer—Kayhan Space delivers a comprehensive environment for orbital data aggregation, coordination and analysis. By combining AI-driven analytics, real-time event detection, and collaborative coordination capabilities, the platform addresses the growing complexity of Earth’s orbital environment. As satellite deployments accelerate and space traffic increases, platforms like Satcat contribute to improved transparency, safer operations and enhanced collaboration across the global space community.
About Kayhan Space
Kayhan Space is a US-based space technology company specializing in space traffic coordination and space domain awareness solutions. Headquartered in Broomfield, Colorado, USA, Kayhan Space develops software platforms designed to enhance orbital safety, collision avoidance and operational transparency for satellite operators and government customers. The company’s core offering includes advanced flight dynamics services, conjunction analysis, and machine-to-machine maneuver coordination tools that support safe and efficient satellite operations. Through the Satcat platform, Kayhan Space aggregates real-time and historical orbital data, enabling users to monitor resident space objects (RSOs), assess conjunction risks and coordinate mitigation strategies. Kayhan Space focuses on integrating data analytics, automation and AI-driven insights to improve decision-making in increasingly congested orbital environments. The solutions are used by commercial satellite operators, government agencies and space industry stakeholders to enhance spaceflight safety and operational resilience.
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