Stellerian is advancing next-generation space operations through a portfolio of AI-driven spacecraft subsystems, autonomous software platforms and mission simulation tools designed to enable intelligent, scalable and emission-free space operations. Focused on computer vision, autonomy and modular spacecraft integration, Stellerian’s solutions support applications ranging from space domain awareness and proximity operations to constellation management and mission design. Stellerian’s product suite is engineered to deliver real-time situational awareness, autonomous decision-making and flexible mission adaptability across multiple orbital regimes.
ACECam: Autonomous Computer Vision Embedded Camera
At the core of Stellerian’s hardware portfolio is ACECam, a compact, multifunctional satellite subsystem designed to deliver real-time computer vision capabilities for proximity operations and spacecraft tracking. Engineered to fit within a 1U CubeSat form factor, ACECam combines visible-spectrum sensors with onboard processing to enable autonomous detection, tracking and pose estimation. The system provides real-time six-degree-of-freedom (6-DOF) state estimation, allowing spacecraft to determine the relative position and orientation of nearby objects. This capability is critical for applications such as rendezvous, inspection, docking and formation flying. ACECam’s modular architecture enables plug-and-play integration with existing satellite platforms using standardized interfaces and connectors. Built with space-hardened components, ACECam is designed to operate reliably under radiation exposure, thermal extremes and vacuum conditions. The low-power design ensures efficient operation for extended missions, while onboard AI algorithms deliver low-latency processing with frame rates of approximately 5–10 fps, even on space-grade hardware.
ATLAS: Long-Range Autonomous Tracking and Space Domain Awareness
Stellerian’s ATLAS (Autonomous Tracking, Location and Assessment System) introduces a novel approach to space domain awareness by enabling long-range detection and tracking using minimal visual data. The system is designed to extract actionable information from single-pixel light signatures, significantly extending detection capabilities beyond conventional optical systems. ATLAS leverages existing star trackers as a distributed passive sensing network, enabling emission-free monitoring of space objects. This approach enhances stealth, reduces system complexity and allows continuous observation without active signaling. Advanced machine learning algorithms enable predictive tracking and behavioral analysis, allowing the system to anticipate spacecraft motion and improve tracking accuracy over time. ATLAS is designed to seamlessly integrate with Stellarian’s close-range systems, transitioning tracking responsibilities to ARGUS for detailed proximity operations.
ARGUS: Autonomous Rendezvous and Proximity Operations
The ARGUS system is a software-based computer vision engine designed to enable autonomous rendezvous and proximity operations (RPO) using monocular optical imagery. Unlike traditional systems that rely on active sensors, ARGUS operates using passive imaging from a single camera, enabling precise navigation without emitting signals. ARGUS delivers 6-DOF pose estimation, allowing spacecraft to determine the exact position and orientation of target objects, including uncooperative spacecraft. This capability supports inspection, servicing, and close-range maneuvering in complex orbital environments. The system is designed with a software-first architecture, enabling integration with existing onboard sensors and computing platforms. When combined with ACECam hardware, ARGUS provides enhanced performance for high-precision operations.
SICS: Synthetic Image Creation for AI Model Training
To support the AI-driven capabilities, Stellerian has developed SICS (Synthetic Image Creation Service), a proprietary platform for generating high-fidelity synthetic imagery of space objects. This system enables the creation of diverse training datasets without relying on real-world imagery of sensitive or classified assets. SICS produces images across a wide range of lighting conditions, orientations and mission scenarios, enabling robust training of computer vision models used in ATLAS, ARGUS and other systems. By eliminating dependency on real-world datasets, SICS enhances scalability while maintaining operational security. The platform also supports mission-specific dataset generation, allowing users to tailor training data to their unique operational requirements.
MODSAT: Modular Spacecraft Analysis and Testing Environment
Complementing the hardware and AI software solutions, Stellarian offers MODSAT (Modular Spacecraft Analysis & Testing), a digital mission design and simulation platform. MODSAT provides a configurable sandbox environment for modeling spacecraft dynamics, mission scenarios and operational constraints. The platform supports fidelity-on-demand simulation, enabling users to switch between simplified and high-fidelity models, including n-body dynamics and subsystem-level constraints. This flexibility allows engineers to conduct detailed analysis of parameters such as delta-v, time of flight, mission margins and communication performance. MODSAT also enables scriptable design-of-experiments (DOE) workflows, facilitating rapid mission prototyping and optimization. Its desktop-ready, unclassified architecture supports operator training, scenario development and mission rehearsal, making it a versatile tool for both engineering and operational teams.
Stellerian’s integrated product ecosystem combines hardware, software and simulation capabilities to enable autonomous and scalable space operations. By providing computer vision, AI and modular system design, the company addresses key challenges in modern space missions, including space traffic management, proximity operations and constellation coordination. The emphasis on passive sensing, real-time processing and modular integration allows Stellerian’s solutions to operate efficiently in contested and congested environments. Stellerian contributes to this evolution by delivering technologies that enable spacecraft to sense, analyze and act independently in real time. Through the portfolio of computer vision systems, autonomous software and mission simulation tools, Stellerian is supporting the development of next-generation space architectures capable of operating reliably and efficiently across increasingly complex orbital environments.
About Stellerian
Stellerian is a U.S.-based space technology company focused on autonomous spacecraft operations and computer vision systems for space applications. Headquartered in Kinnelon, New Jersey, USA, Stellarian develops software and hardware solutions designed to enable real-time sensing, tracking and decision-making in orbit. The company’s portfolio includes embedded vision systems, autonomous navigation software and mission simulation tools that support applications such as space domain awareness, rendezvous and proximity operations and constellation management. The technologies are built around modular architectures and software-defined approaches, enabling integration with a wide range of satellite platforms. By combining computer vision, artificial intelligence and scalable system design, Stellerian provides solutions that support autonomous and data-driven space operations across multiple orbital environments.
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