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
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.