LunaNav combines real-time satellite imagery with on-ground sensors fitted in lunar exploration vehicles to create a highly detailed, dynamic map of the lunar environment.

This system uses AI-driven algorithms to process data from multiple sources, adjusting navigation paths in real-time to account for terrain changes, obstacles, and environmental conditions.

The integration uses high-resolution cameras and LIDAR technology to enable precise measurements of surface features, while onboard AI software continuously updates and optimizes the navigation route, ensuring safety and efficiency for lunar exploration teams.

LunaNav provides unprecedented accuracy and adaptability in lunar navigation, reducing mission risks and improving efficiency in resource extraction.

Its real-time, AI-driven updates offer a significant advantage over existing satellite-based systems that struggle with latency and lack of terrain detail.

Technically, LunaNav builds on existing AI and remote sensing technologies, which are mature but require adaptation for the lunar context.

Business-wise, initial costs are high due to R&D and satellite deployments, yet manageable via partnerships with space agencies and commercial spaceflight providers.

Competitively, there's a growing but nascent market with increasing interest from commercial lunar mission developers.