Reported impact
Business outcome
NASA reduced some mission-planning analysis from weeks to seconds, expanded non-expert access to complex Earth and hydrology data through natural-language interfaces, and is building AI-assisted decision support for flight operations and faster disaster-response analysis.
- Productivity Improvement
- Risk Reduction
Solution
NASA is using a set of AI assistants, developed partly with Microsoft, to turn scattered scientific and operational repositories into usable decision support. Inputs include academic literature, open NASA datasets, safety analyses, engineering reviews, Artemis II mission records, and satellite, observational, and modeling data drawn from at least 10 sources. Microsoft Copilot helps employees sift large volumes of literature and routine information. Earth Copilot and Hydrology Copilot add a conversational access layer over Earth science and water datasets, letting users ask natural-language questions while the system performs calculations and analyses on variables such as precipitation and soil moisture. NASA keeps its existing open-data repositories, mission systems, and public databases as the storage foundation, while AI handles retrieval, synthesis, and response delivery. A separate SPARTAN agent prototype is being designed as a virtual backroom teammate for Johnson Space Center flight controllers, returning real-time answers from mission information to support operational decisions.
Data flow
NASA draws safety analyses, engineering reviews, mission records, academic literature, and Earth science datasets from open repositories and internal mission systems. Microsoft Copilot, Earth Copilot, and Hydrology Copilot interpret those sources through natural-language prompts and automated analysis, then return synthesized answers to scientists, planners, communities, and agencies. The SPARTAN agent prototype is intended to deliver similar mission-information support directly into Mission Control workflows for real-time operational use.