SBIR/STTR Research Award
AI/ML for Kinetic and Non-Kinetic Missile Defense Battle Management
Award amount
$150,000Program and phase
SBIR · Phase IAward year
2024Award details
- Awarding agency
- Department of Defense
- Branch
- Missile Defense Agency
- Recipient company
- OPTIMIZATION TECHNOLOGIES, INC.
- Proposal award date
- 2024-08-05
- Contract end date
- 2025-02-04
- UEI
- E7MNGQ56KYB7
- Solicitation number
- 24.1
- Topic code
- MDA241-012
Research abstract
The integration of Directed Energy (DE) weapons into the Missile Defense System (MDS) promises enhanced defensive capabilities for the Combatant Commander’s (CCDR) friendly forces and defended assets. However, it adds complexity to the decision-making process for the CCDR due to the interplay of diverse threats, variable weather conditions, and the unique characteristics of both Kinetic (K) and Non-Kinetic (NK) weapons. To address this challenge, OptTek Systems, Inc. (OptTek) will develop a novel AI/ML-powered Situational Awareness and Fire Control Tool (SAFCT) to support rapid and informed weapon selection and employment in a highly complex and dynamic battlefield environment. Approved for Public Release | 24-MDA-11906 (16 Sep 24)
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.
- Benchmarking Simulations for Missile Defense System Analysis
- Using AI/ML to Automate Combat Simulation Scenario Creation
- Benchmarking Simulations for Missile Defense System Analysis
- Verification, Validation, Assurance, and Trust of Machine Learning Models and Data
- Innovative Uses of Artificial Intelligence and Machine Learning in Scenario Planning and Design
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Suggestive Modular AI-based Real-Time (SMART) Battle Management
- Artificial Intelligence/Machine Learning (AI/ML) for Kinetic and Non-Kinetic (K-NK) Missile Defense Battle Management
- Artificial Intelligence/Machine Learning (AI/ML) Battle Management for Rapid, Interactive Weapon Selection
- AI enabled Advanced Battle Planning & Management (AIM)
- AI/ML For Kinetic and Non-Kinetic Missile Defense Battle Management
Research funding history
39 SBIR/STTR records share this UEI (2003–2025). Reported award amounts total $27,442,303. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, National Science Foundation, Department of Health and Human Services