Belleau Labs

GEORGIA TECH APPLIED RESEARCH CORP

Department of Defense · Contract

AI-Readiness Score
5/19
AI / ML Relevance
2/9
Problem Framing
2/5
Awardee Quality
1/5

Award

$7,304,765
Award amount
Award date
HR001120C0046
PIID

Awardee

130
Total awards
$1,838,723,793
Total $ won
4.7/19
Avg AI score
View full awardee profile →

Description

OPTIMIZATION WITH NOISY INTERMEDIATE-SCALE QUANTUM DEVICES (ONISQ)

Score Rationale

ONISQ is a quantum computing optimization contract with no mention of AI/ML techniques, autonomous systems, or ML-specific deliverables — quantum algorithms are distinct from machine learning and this scores as buzzword-adjacent to AI rather than genuine AI/ML work. Problem framing is vague ('optimization with noisy quantum devices') without articulated operational context, end-user, or success criteria tied to a defense mission. Georgia Tech Applied Research Corp is an FFRDC-adjacent university research entity, not an AI-native startup, placing it firmly in the legacy/institutional research category despite the applied framing.

Source

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