Booz Allen’s A2E2™ platform and HPE’s Spaceborne Computer-2, aims to replace physical manuals and reduce operational delays by processing text and visual data locally in space environments where internet access is limited or unavailable. This AI system is optimized to run with minimal power and computing resources while improving task efficiency for astronauts.

This internal research initiative represents a key milestone in adapting language and vision AI to environments with disrupted or constrained connectivity. With potential applications beyond space, such as in remote industry, defense, and energy sectors, Space Llama highlights the use of open architecture systems to support maintenance and diagnostics in mission-critical scenarios. Bill Vass, Chief Technology Officer at Booz Allen, said, “This proof of concept overcomes the historical limitations of low-power, low-capability space-based computing by enabling simple, power-efficient AI use in space without relying on Earth network connectivity. We’re thrilled and honored to steward with Meta this space-based multi-modal vision language model to achieve critical mission success and redefine how we work in space and at the deepest mission edges.”

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