Federal AI Intelligence
Menu
Snapshot · OMB 2025 inventory · processed Oct 11, 2026
Federal AI Intelligence · U.S. Government AI Observatory

Custom inventory report

Filter: agency = NASA; AI type = nlp

Generated 2026-10-12 13:27 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 = nlp · 27 records

Key findings

  • 27 use-case records from 1 agencies: 4 deployed (15%), 2 pilots, 20 in development or acquisition, 1 retired, 0 with no stage reported.
  • 0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
  • 0% of reported deployed use cases (0 of 4) are classified as generative or agentic AI.
  • Sourcing is reported for 22% of use cases. Where reported, 100% involve in-house development.

Lifecycle

StageRecordsShare
Deployed415%
Pilot27%
Pre-deployment2074%
Retired14%

AI technology

ClassificationRecordsShareDeployed
Natural language processing27100%4

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
NASA · National Aeronautics and Space Administration274067%

High-impact designation

DesignationRecords
Not high-impact27

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing0000000
AI impact assessment0000000
Independent review0000000
Ongoing monitoring0000000
Operator training0000000
Fail-safe0000000
Appeal process0000000
User and public consultation0000000

"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 27 records.

RecordAgency IDAgencyUse caseStage
R0117NASA-25NASANextGen Advanced Methods: ATCSCC Webinar Speech2Text and AnalysisDeployed
R0118NASA-26NASANextGen Data Analytics: Letters of AgreementDeployed
R0204NASA-334NASANASA OCIO STI Concept Tagging ServiceDeployed
R0216NASA-365NASAGCMD Keyword Recommender (GKR)Deployed
R0123NASA-42NASAMADI - Strategic Foresight and Knowledge Management infrastructure for ARMD/TACP/CASPre-deployment
R0138NASA-143NASAKnowledge Capture: helionauts.orgPre-deployment
R0151NASA-187NASAScience Translation with AIPre-deployment
R0180NASA-259NASAComment Analytics DashboardPre-deployment
R0201NASA-327NASALessons Learned Bot (LLB)Pre-deployment
R0212NASA-354NASAUsing Natural Language Processing to Help Automate the Standardization of PI Variable Names from ICARTT FilesPre-deployment
R0230NASA-405NASAMapping Digital Infrastructure (MADI)Pre-deployment
R0238NASA-418NASAManager for Intelligent Knowledge Access (MIKA)Pre-deployment
R0251NASA-454NASARequirement Alignment (REQAL)Pre-deployment
R0255NASA-488NASAData Fracking (HRP)Pilot
R0256NASA-490NASAAIML for Code Review and Workforce Augmentation (converted to collective)Retired
R0267NASA-515NASALarge language models for food security outlooksPre-deployment
R0282NASA-546NASAXR Enabling Technologies for Hardware Integration & Test Process ImprovementPre-deployment
R0354NASA-653NASANatural Language Processing and Topic Modeling of the 25-Year General Coordinates Network (GCN) Circulars ArchivePre-deployment
R0378NASA-680NASASoftware Issue Classification with LLMPre-deployment
R0396NASA-712NASAUsing LLMS for Documents and Requirements AnalysisPilot
R0399NASA-717NASAArtificial Intelligence Leveraged Information Capture and Exploration (ALICE) (ITMX)Pre-deployment
R0472NASA-870NASANatural Language query processor for Common Metadata RepositoryPre-deployment
R0475NASA-873NASAMADI - Modular AI for Design and InnovationPre-deployment
R0500NASA-904NASAHEASARC BibliographyPre-deployment
R0514NASA-921NASAAI-Enhanced Mission Operations Reporting & Decision Support SystemPre-deployment
R0515NASA-922NASAAthena (EM32 Document Intelligence)Pre-deployment
R0525NASA-933NASAMIRA (MAPTIS NLP Interface)Pre-deployment

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