LeoLabs and SAIC have partnered to develop a space-tracking software platform. The companies are working on a prototype that will be released later this year. The platform will be built on the Koverse data management platform, with data analyzed using SAIC’s Tenjin data science platform. It will ingest data from various sources, including the US military’s space-track.org and LeoLabs’ conjunction data messages. The platform aims to support government use cases and data access requirements while leveraging LeoLabs’ commercial technology capabilities.
LeoLabs, SAIC to Develop Space-Tracking Software Platform
LeoLabs and SAIC have announced a partnership to jointly develop a space-tracking software platform. The companies are collaborating on a prototype that is expected to be available later this year. The platform will be built on the Koverse data management platform, which offers advanced security features. SAIC’s Tenjin data science platform will be used to analyze the data. The goal of the platform is to support government use cases and data access requirements, while leveraging LeoLabs’ commercial technology capabilities.
Building a Space-Tracking Tool on the Koverse Platform
LeoLabs and SAIC are working together to build a space-tracking tool on the Koverse data management platform. The tool will utilize the advanced security features of Koverse, making it suitable for government use cases. SAIC’s Tenjin data science platform will be used to analyze the data collected from various sources, including the U.S. military’s space-track.org and LeoLabs’ conjunction data messages. The partnership aims to provide more advanced tools for analyzing objects in space and improving the safety of spacecraft in orbit.
Potential Benefits for Government Agencies
The partnership between LeoLabs and SAIC is expected to provide government agencies with increased visibility into space activities. The space-tracking platform will offer space visualizations similar to what LeoLabs currently provides to its customers. It will also include features such as “machine to machine” messages that help predict close approaches in orbit. Potential customers for the platform include the Department of Commerce’s space traffic management office, the U.S. Space Force’s space-tracking units, and other government organizations seeking advanced tools for analyzing objects in space and enhancing spacecraft safety.
