BOOZ ALLEN HAMILTON INC
Department of Defense · Contract
AI-Readiness Score
10/19
AI / ML Relevance
6/9
Problem Framing
4/5
Awardee Quality
0/5
Award
$11,223,430
Award amount
—
Award date
HR001120C0126
PIID
Awardee
103
Total awards
$3,594,913,423
Total $ won
3.4/19
Avg AI score
Description
THE SEMANTIC FORENSICS (SEMAFOR) PROGRAM WILL DEVELOP TECHNOLOGIES TO AUTOMATICALLY DETECT, ATTRIBUTE, AND CHARACTERIZE FALSIFIED, MULTI-MODAL MEDIA ASSETS TO DEFEND AGAINST LARGE-SCALE, AUTOMATED DISINFORMATION ATTACKS.
Score Rationale
SEMAFOR names a genuine problem (detecting deepfakes/disinformation) and implies ML techniques (detection, attribution, characterization of multi-modal media), but the description lacks specificity on *which* AI/ML methods will be deployed—computer vision for synthetic detection? NLP for text forensics? This keeps relevance at mid-range rather than 8+. Problem framing is solid and operational (large-scale disinformation defense) but lacks concrete success metrics or end-user context. Booz Allen Hamilton is a legacy defense megaprime ($34B+ FY2023 revenue, founded 1956), disqualifying it from any startup/AI-native signal despite the technically sound contract objective.