THE BOEING COMPANY
Department of Defense · Contract
AI-Readiness Score
4/19
AI / ML Relevance
2/9
Problem Framing
2/5
Awardee Quality
0/5
Award
$1,530,480
Award amount
—
Award date
N0001425C1510
PIID
Awardee
181
Total awards
$12,093,132,660
Total $ won
1.6/19
Avg AI score
Description
BOEING PROPOSES SYNERGISTIC CHARACTERIZATION OF CORROSION PROTECTION, MECHANICAL CHARACTERISTICS, AND E3 PERFORMANCE OF ECC. A DATABASE WILL BE ESTABLISHED TO ACCURATELYPREDICT THE IMPACT OF MATERIAL CHANGES, CORROSION, AND FATIGUE ON E3 PERFORMANCE
Score Rationale
No AI/ML techniques are named or implied in the deliverable; the contract is fundamentally about materials science database creation and engineering characterization of electromagnetic compatibility (E3) performance under corrosion and fatigue—a traditional physics-based modeling problem with no mention of machine learning, neural networks, or data-driven prediction systems. Problem framing is vague and administrative ('establish a database') with no specific operational context or end-user scenario articulated. Boeing is a legacy defense prime contractor, the opposite of an AI-native startup, making this a conventional materials/EMC engineering contract with buzzword-free, non-AI substance.