SBIR/STTR Research Award

Prediction of Outcomes for Missions using Machine Learning (POMML)

Award identifier 9937fa875595780521ef7db24b28264a88e83943edac5221c387d2fb0c1dae4cAwarding agency Department of Defense · Air Force

Award amount

$1,249,919

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2023

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
MODUS OPERANDI, INC.
Proposal award date
2023-05-23
Contract end date
2025-08-26
UEI
HMADMY8YKVP5
Solicitation number
22.2
Topic code
AF222-D021

Research abstract

The Department of Defense (DoD) routinely conducts large force team of teams exercises (e.g., Red Flag) which train multiple teams together. These exercises are time-consuming and costly, involving large numbers of personnel and equipment. The ultimate go

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.

Research funding history

164 SBIR/STTR records share this UEI (1987–2025). Reported award amounts total $62,469,037. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.