ACECam
Autonomous Computer vision Embedded Camera
A multifunctional satellite subsystem providing powerful solutions for proximity operations and constellation management, designed with modularity and performance in mind.
The Ultimate Solution to Relative Navigation
ACECam is a standalone assortment of visible camera sensors and processors loaded with customizable computer vision models to provide relative state measurements.
Designed to fit within a 1U volume, compact enough for cubesats, with traditional fasteners and connectors for true "plug and play" capability with any small satellite system.
- Real-time pose estimation and tracking
- Autonomous operation capabilities
- Space-hardened components
- Low power consumption
- Modular design for easy integration
Ready to transform your space operations?
Autonomous Software for Space Operations
From long-range detection to close-proximity operations, Stellerian's software suite delivers end-to-end autonomous capabilities — powered by advanced computer vision, synthetic training data, and mission-credible simulation.
ATLAS
Autonomous Tracking, Location, and Assessment System
An advanced pixel navigation system designed for long-range space domain awareness. ATLAS extracts maximum information from minimal visual data — even a single pixel of light — enabling detection and tracking capabilities far beyond conventional optical systems. It leverages existing star trackers as a distributed passive sensor network for emission-free monitoring.
- Long-range detection and persistent tracking from single-pixel signatures
- Distributed star-tracker network for passive, emission-free sensing
- Prediction algorithms that adapt via machine learning to anticipate spacecraft behavior
- Seamless handoff to ARGUS for close-range proximity operations
ARGUS
Autonomous Rendezvous and GNC for Unmanned Spacecraft
A computer vision inference engine for monocular space-based operations. Using only optical imagery from a single camera, ARGUS precisely determines the six-degree-of-freedom position and orientation of target spacecraft — enabling autonomous RPO with uncooperative targets, detailed inspection, and enhanced space domain awareness, all without active emissions.
- Passive 6-DOF pose estimation from a single monocular camera
- Software-first approach — integrates with existing sensors and computing
- Autonomous rendezvous and proximity operations with uncooperative targets
- Optional ACECam hardware add-on for optimal performance
SICS
Synthetic Image Creation Service
Stellerian's proprietary synthetic image generation pipeline produces high-fidelity training data representing various space objects under diverse lighting conditions and orientations. SICS enables robust AI model training without requiring extensive real-world imagery of sensitive military assets or adversarial spacecraft — serving as the foundation for all of Stellerian's computer vision capabilities.
- High-fidelity synthetic imagery under diverse lighting and orientations
- Eliminates dependency on real-world imagery of sensitive assets
- Powers training data for ATLAS, ARGUS, and custom AI models
- Configurable scenarios for mission-specific training datasets
MODSAT
Modular Spacecraft Analysis & Testing
A configurable digital mission-design and training lab that couples a sandbox flight-dynamics environment with realism extensions including n-body dynamics and subsystem constraints. MODSAT enables rapid mission prototyping from LEO to cislunar, scriptable design-of-experiments, and operator training — all in a desktop-ready, unclassified distribution.
- Fidelity-on-demand: toggle from patched-conics to n-body as needed
- Scriptable DOE sweeps for ΔV, TOF, margins, coverage, and comm closure
- Shareable scenario packs for operator training and wargaming prep
- Desktop-ready, unclassified distribution with reproducible environments