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
$157,695,363
Award amount
—
Award date
HQ014719F0023
PIID
Awardee
769
Total awards
$4,478,210,870
Total $ won
2.6/19
Avg AI score
Description
PROVIDE ANALYSIS TO INCLUDE DESIGN, DEVELOP, INTEGRATE, AND TEST AN AEGIS BMD MISSION PLANNER MODEL PROTOTYPE WHICH INCLUDES THE CERBERUS PROJECT IN ACCORDANCE WITH THE SOW, SECTION J, AND EXECUTING THE COMBAT SYSTEMS TASK ORDER TASKS. PSC AC23 EXPENDITURE TYPE 255.0 R&D
Score Rationale
The award description uses no AI/ML terminology (no mention of machine learning, computer vision, neural networks, autonomy, or data-driven decision systems) and frames deliverables around 'design, develop, integrate, and test' of a 'mission planner model prototype'—language consistent with traditional systems engineering rather than AI development. APL is an FFRDC (Federally Funded Research and Development Center) run by Johns Hopkins, a legacy research contractor, not an AI-native firm; the $157.7M scale and AEGIS BMD context suggest this is likely traditional defense integration work.