Neuraspace

For professional services in the space industry, managing orbital traffic is a rapidly escalating challenge. The number of satellites in LEO is projected to increase 15x by 2030, rendering traditional management methods obsolete. Current human-based solutions require a team of professionals to spend approximately 8 hours resolving a single verified close encounter. This is not scalable. Neuraspace directly addresses this by applying AI and machine learning to the problem. Its platform automates the entire risk assessment process, flagging only high-risk encounters and providing a short list of suggested maneuvers. This reduces the resolution time from hours to minutes for a single operator. The system provides warnings up to 5 days before a potential conjunction, giving your team ample time to act. It provides specific value for satellite operators by saving fuel and minimizing service disruptions; for launch providers through LEOP support; and for insurers and regulators with accurate, evolving risk models. By offering a 2-month pilot, it allows firms to directly compare its speed and accuracy against their existing solutions.