CASE STUDY

This mission will test the operations of Valkyrie ’ s Graph Database ( GDB ) and the viability of using this technology on astrophysics data stored onboard by the Harvard Smithsonian Center for Astrophysics .

A Vision Beyond Earth

Valkyrie Intelligence shares Lonestar ’ s vision of safeguarding Earth ’ s data , one byte at a time , through the development of a lunar network of satellites . This network will provide some of the most secure data storage services available , built on an independent infrastructure designed for government and enterprise customers . The spacecraft in orbit will be linked to a ground station , allowing critical data to be stored and transferred securely , bypassing terrestrial networks entirely .

Key points of the Valkyrie / Lonestar partnership

• Lunar Mission : Valkyrie Intelligence will be part of Lonestar ’ s payload landing on the Moon in late 2024 onboard Intuitive Machine ’ s IM-2 lander . This will serve as a pathfinder mission to demonstrate a small data center on the Moon , edge processing and data transfer and refresh from the Earth to the Moon .

• Graph Database Testing : The mission will test the performance of Graph Database on astrophysics data stored onboard .

• Technological Innovation : This mission will explore the capabilities of GDB as a 10,000 times faster search protocol for large data sets , vital for Valkyrie Intelligence ’ s machine learning applications .

• RISC V Architecture : The test will utilize RISC V architecture , assessing its efficiency in edge processing in space .

As the demand for robust data security and infrastructure continues to grow , edge processing and machine learning algorithms will become increasingly vital in supporting lunar landers , rovers and other developments on the Moon . Valkyrie and Lonestar are positioned to lead this charge . Their combined efforts will ensure that sensitive information – ranging from

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