THE JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY LLC
Department of Defense · Contract
AI-Readiness Score
4/19
AI / ML Relevance
2/9
Problem Framing
2/5
Awardee Quality
0/5
Award
$3,285,000
Award amount
—
Award date
FA254826FB002
PIID
Awardee
769
Total awards
$4,478,210,870
Total $ won
2.6/19
Avg AI score
Description
THREE SPACE RCO TECHNOLOGY STUDIES AND COMPUTER MODELS TO DEVELOP A TECHNOLOGY ROADMAP, ANALYZE TRADES REQUIRED EFFECTIVE ENTERPRISE LEVEL KILL CHAIN INFRASTRUCTURE, ASSESS MISSION EXTENSION TECH AND ARCHITECTURES, AND EVALUATE CAMPAIGN PERFORMANCE.
Score Rationale
No AI/ML techniques are named or implied in the deliverables; the award describes studies, computer models, and roadmaps — classic systems engineering and analysis work with no indication of machine learning, autonomous systems, or data-driven intelligence. Problem framing is vague bureaucratic language ('kill chain infrastructure,' 'campaign performance') without articulated operational gaps or success metrics. JHU/APL is an FFRDC — a legacy federally-funded research center, the institutional opposite of an AI-native startup, making this a traditional defense study contract rather than evidence of AI-native procurement.