REAP: Resource-management via Explainable Adversarial Planning – Battle Management for Integrated Air and Missile Defense
Award amount
$104,894Program and phase
SBIR · Phase IAward year
2020Award details
- Awarding agency
- Department of Defense
- Branch
- Missile Defense Agency
- Recipient company
- NUMERICA CORPORATION
- Proposal award date
- 2019-11-22
- Contract end date
- 2020-05-21
- UEI
- NSGLCKLKJXP3
- Solicitation number
- 19.2
- Topic code
- MDA19-005
Research abstract
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.
- Meshed Radar Network Architecture for Expeditionary Air Traffic Control
- Artificial Intelligence/Machine Learning (AI/ML) for Kinetic and Non-Kinetic (K-NK) Missile Defense Battle Management
- Artificial Intelligence Realtime Track Modeling and Simulation for Combat Systems
- Spyglass™ Radar: Long Range sUAS Surveillance Technology
- Meshed Radar Network Architecture for Expeditionary Air Traffic Control
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Artificial Intelligence (AI)-based Battle Management (BM) for Multi-mission Integrated Air and Missile Defense (IAMD)
- LG AI-based Battle Management (BM) for Integrated Air and Missile Defense (IAMD)
- Dynamic Narrative Aid for Battle Management using Market-Based Optimization (DyNAMMO)
- LG based AI for Battle Management (BM) for Integrated Air and Missile Defense (IAMD)
Research funding history
161 SBIR/STTR records share this UEI (2002–2025). Reported award amounts total $88,411,168. 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, Department of Homeland Security