THE JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY LLC
Department of Defense · Contract
AI-Readiness Score
3/19
AI / ML Relevance
1/9
Problem Framing
2/5
Awardee Quality
0/5
Award
$1,159,151
Award amount
—
Award date
HQ085425FE029
PIID
Awardee
769
Total awards
$4,478,210,870
Total $ won
2.6/19
Avg AI score
Description
THE CONTRACTOR SHALL PERFORM ALL TASKS IN ACCORDANCE WITH TASK PLAN DATED 16 JUNE 2025 ENTITLED GROUND-BASED MIDCOURSE DEFENSE ENGINEERING RADAR (GMER) TASK PLAN (ATTACHMENT 1, SECTION J)
Score Rationale
No AI/ML techniques or systems are named or implied in the award description—this is a radar engineering task with no mention of machine learning, autonomous systems, or algorithmic work; the problem is framed only as adherence to an external task plan, with no articulated operational problem or success criteria visible in the public description. JHU APL is a large FFRDC/government-owned research center, not an AI-native startup, disqualifying this as evidence of modern defense AI procurement innovation.