SBIR/STTR Research Award

Open Call for Innovative Defense-Related Dual-Purpose Technologies/Solutions with a Clear Air Force Stakeholder Need

Award identifier 138796e2098a163c4c0c4d1962308f749269df3293f7c8e732030eadf7476f06Awarding agency Department of Defense · Air Force

Award amount

$50,000

Program and phase

SBIR · Phase I

Award year

2019

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
CLOVERLEAF.ME, INC.
Proposal award date
2019-08-02
Contract end date
2019-11-08
UEI
ETS6CLFMNE16
Solicitation number
19.2
Topic code
AF192-001

Research abstract

Cloverleaf uses behavioral assessments, big data and machine learning to identify patterns and anomalies in specific career fields (AFSC codes). This data would then allow the Air Force to identify gaps in potential recruits to vector talent management resources to fill in those gaps, strengthening the individuals, teams, and leaders to create a stronger overall Air Force.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

2 SBIR/STTR records share this UEI (2019–2020). Reported award amounts total $100,000. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Defense

Agency intelligence

Department of Defense

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