Belleau Labs

THE JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY LLC

Department of Defense · Contract

AI-Readiness Score
11/19
AI / ML Relevance
7/9
Problem Framing
4/5
Awardee Quality
0/5

Award

$9,730,411
Award amount
Award date
FA875022C1513
PIID

Awardee

769
Total awards
$4,478,210,870
Total $ won
2.6/19
Avg AI score
View full awardee profile →

Description

MULTI DOMAN FUSION FOR CONTINUOUS UNIVERSAL TARGETING (MCUT)

Score Rationale

The contract title 'Multi Domain Fusion for Continuous Universal Targeting' explicitly invokes sensor fusion and targeting—core AI/ML applications (likely computer vision, data fusion, anomaly detection)—suggesting AI is a primary rather than ancillary component, warranting a 7. Problem framing is identifiable (multi-domain sensor fusion for targeting) but lacks specificity on operational context, contested environment details, or success metrics. JHU APL is a federally funded research and development center (FFRDC) owned by Johns Hopkins University, placing it squarely in the legacy institutional category despite technical excellence, not an AI-native startup.

Source

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