Federal AI Intelligence · U.S. Government AI Observatory

Federal AI landscape: executive briefing

Filtered: agency = NASA; AI type = generative

Generated 2026-10-12 20:40 UTCDataset: 2025 Federal Agency AI Use Case Inventory (individually reported use cases), Office of Management and Budget (OMB). Version 2025-inventory@62d5baa65fa3, processed 2026-10-11, rules 2026.10.1. Static snapshot.Applied filters: agency = NASA; AI type = generative · 37 records

Key findings

37 use-case records from 1 agencies: 0 deployed (0%), 5 pilots, 30 in development or acquisition, 2 retired, 0 with no stage reported.
0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
Sourcing is reported for 14% of use cases. Where reported, 100% involve in-house development.

Lifecycle

Stage	Records	Share
Pilot	5	14%
Pre-deployment	30	81%
Retired	2	5%

AI technology

Classification	Records	Share	Deployed
Generative AI	37	100%	0

Agencies

Agency	Records	Deployed	High-impact	Completeness
NASA · National Aeronautics and Space Administration	37	0	0	64%

High-impact designation

Designation	Records
Not high-impact	37

Governance evidence: use cases designated high-impact

Practice	In place	In progress	Not in place	N/A or precluded	Other	No answer	In scope
Pre-deployment testing	0	0	0	0	0	0	0
AI impact assessment	0	0	0	0	0	0	0
Independent review	0	0	0	0	0	0	0
Ongoing monitoring	0	0	0	0	0	0	0
Operator training	0	0	0	0	0	0	0
Fail-safe	0	0	0	0	0	0	0
Appeal process	0	0	0	0	0	0	0
User and public consultation	0	0	0	0	0	0	0

"In place" means the agency reported the practice as established. "No answer" means the field was blank; it says nothing about whether the practice exists.

Method

All figures are computed directly from the normalised inventory records. Category labels are normalised from the source answer options; original values are kept on each record. Governance answers are classified as in place, in progress, not in place, not applicable, precluded, waived, other or no answer, and blanks are never read as "no". See the Methodology page for full rules.

Limitations

Figures are what agencies reported in the 2025 inventory. They are not verified, and registration of use cases is not complete for every agency.
A blank answer is missing evidence, not evidence that a practice or safeguard is absent.
Counts are use-case records. A larger portfolio does not indicate better performance or greater AI maturity, and agencies differ in how they split systems into use cases.
The inventory has no budget, cost, accuracy or outcome data. None is shown or inferred here.
This is a disclosure analysis. It is not an audit, a compliance determination or an official government assessment.

Source records

All 37 records.

Record	Agency ID	Agency	Use case	Stage
R0149	NASA-183	NASA	Reconstruction of cloud vertical structure	Pre-deployment
R0245	NASA-445	NASA	Instantaneous Clarity of Ambient eNvironment Capability (ICAN-C)	Pilot
R0257	NASA-491	NASA	OCFO External Performance Reporting	Pre-deployment
R0260	NASA-495	NASA	OCFO President Budget Request RAG	Pre-deployment
R0262	NASA-499	NASA	Coupled Loads Analysis Research Assistant (CLARA)	Retired
R0266	NASA-512	NASA	Advanced Air Mobility Digital Assistant	Pre-deployment
R0275	NASA-535	NASA	ATLAS	Pre-deployment
R0276	NASA-537	NASA	NASA-GPT: Retrieval-Augmented Generation using NTRS and more	Pre-deployment
R0278	NASA-539	NASA	ChatGSFC	Pilot
R0279	NASA-540	NASA	General AI LLM Chatbot for NASA CUI Data: Accelerated Langley Transformation Initiative Research Assistant (ALTIRA)	Pre-deployment
R0302	NASA-581	NASA	Background matrix Generation with Stable Diffusion	Pre-deployment
R0330	NASA-621	NASA	Giovanni GPT	Pre-deployment
R0391	NASA-705	NASA	Data Augmentation Pipeline for Zero-Shot Sim-to-Real Transfer in Vision-Based Robot Navigation	Pre-deployment
R0394	NASA-709	NASA	GenAI Agent for Interacting with Robots (https://github.com/nasa-jpl/rosa)	Pilot
R0395	NASA-711	NASA	SLIM: Software Lifecycle Improvement & Modernization	Pilot
R0401	NASA-719	NASA	TxP: Federated Data Discovery and Content Creation (FDDCC) KDP-Formulation (ITMX)	Pre-deployment
R0404	NASA-723	NASA	Intelligent Chatbot for Science using Microsoft Copilot	Pre-deployment
R0405	NASA-732	NASA	Cache-Augmented Generation Document Search (converted to collective)	Retired
R0410	NASA-743	NASA	Ask Tech Port	Pre-deployment
R0412	NASA-746	NASA	AI-enabled Risk-Informed Assessment Selection (RIAS) tool	Pilot
R0413	NASA-747	NASA	AI-Assisted Analysis Across the IV&V and Software Assurance Lifecycle	Pre-deployment
R0417	NASA-764	NASA	Space Precision Health Foundation Model	Pre-deployment
R0419	NASA-790	NASA	JSC NC PRA Cut Set Tool	Pre-deployment
R0420	NASA-791	NASA	JSC SMA NT Paper WAD Data Extraction	Pre-deployment
R0425	NASA-805	NASA	Decision Theoretic Planning	Pre-deployment
R0426	NASA-806	NASA	Cloud avoidance for Atmospheric Retrieval Missions	Pre-deployment
R0427	NASA-807	NASA	Dynamic, Intelligent, Tomographic Imaging	Pre-deployment
R0441	NASA-832	NASA	RAG Chatbots: Enhancing User and Internal Support Through Dual Knowledge Systems	Pre-deployment
R0473	NASA-871	NASA	PIX4DCloud	Pre-deployment
R0479	NASA-877	NASA	Using MML code generation to create new high-energy astrophysics science software	Pre-deployment
R0480	NASA-878	NASA	Diffusion Modeling of the Solar Corona	Pre-deployment
R0504	NASA-908	NASA	IV&V Requirements Quality & Traceability Analysis	Pre-deployment
R0505	NASA-909	NASA	IV&V Static Code & Implementation Analysis	Pre-deployment
R0506	NASA-910	NASA	IV&V Test Analysis	Pre-deployment
R0507	NASA-911	NASA	IV&V AI Assistant	Pre-deployment
R0508	NASA-912	NASA	IV&V Process Accelerators through Generative AI Capabilities	Pre-deployment
R0518	NASA-925	NASA	BoundState (Compliance & Risk Engine)	Pre-deployment

Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory