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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DOE · DOE-529 · record R3386

NIF Shot Analytics & Predictive Maintenance Support Pilot

Department of Energy · LLNL - Lawrence Livermore National Laboratory (LFO)

Overview

Development stage
PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not being used to make critical runtime decisions.
Start date
2025-06-30 (day precision)Source: 2025-06-30T00:00:00
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Science
Operational functions
Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

Quick access to specific NIF laser data and problem resolution information

Expected benefits

Ability to quickly find and access targeted NIF maintenance knowledge

System outputs

Specific, data-driven answers to NIF shot maintenance questions

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s)
C3.AI
Custom-developed code
No
Public source code
Not reported

Sourcing

How it was built
Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported)
C3
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
No
Privacy Impact Assessment
Not reported
Authorization to Operate
No
Demographic features
k) None of the above
Training and evaluation data
NIF shot data and support ticket information
Federal Data Catalog
No

Governance

5 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingReported in progressSource: b) In-progress
AI impact assessmentReported in progressSource: b) In-progress
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNot applicableSource: b) Not applicable
Appeal processNot applicableSource: b) Not applicable
User and public consultationOther or ambiguous answerSource: d) Other

Potential impacts and how they were identified

Not reported