Our Technology

Our NeuroSat system features a streamlined and intuitive user interface (UI) designed to empower scientists, researchers, and operators to interact effortlessly with their CubeSat swarms. The UI visualizes real-time satellite positions, status updates, and mission progress through an interactive dashboard. Users can upload machine learning models, configure swarm tasks, and monitor data processing directly in orbit. With accessible controls and live telemetry, the UI ensures seamless command execution and simplifies decision-making, making advanced AI space missions manageable for both experienced and novice users.

The backend of the NeuroSat system is the powerhouse driving its decentralized data processing capabilities. Built with scalability and efficiency in mind, it integrates blockchain technology for secure data exchange and federated learning algorithms for collaborative model training across CubeSats. The backend manages autonomous decision-making, data compression, and encryption protocols, minimizing energy consumption and enhancing system security. Its modular architecture ensures compatibility with diverse CubeSat hardware configurations, allowing the system to adapt to various models without requiring significant redesign. Additionally, our use of a robust set of APIs facilitates seamless integration with existing space operation systems, such as mission control platforms and ground station softwares, enabling smooth adoption into established workflows.