Overview

Re CAE aims to help de-risk space operations by offering access to comprehensive cloud-based tools that ensure precise orbital forecasts and in-depth spacecraft assessments. The platform offers a unique solution for a comprehensive assessment of spacecraft lifecycle, such as orbital propagation and collision risk assessment, and post-mission disposal analysis for end-of-life, including re-entry prediction, ground impact risk and uncertainty quantification. Re CAE also designed an API for satellite pass to provide accurate visibility predictions with real-time updates on satellite passes. This customizable platform allows users to personnalize the API to their specific needs. The ultimate goal of this API is to enhance space mission operations and optimize celestrial observations. The overreaching objective of Re CAE is to empower self-driving spacecraft by harnessing deep neural networks and reinforcement learning for efficient orbital manoeuvers and controlled re-entries with high-degree of safety and precision. Join us in safeguarding the space environment and contributing to long-term sustainability while achieving mission objectives!