SBIR/STTR Research Award
Innovative Uses of Artificial Intelligence and Machine Learning in Scenario Planning and Design
Award amount
$1,477,911Program and phase
SBIR · Phase IIAward year
2023Award details
- Awarding agency
- Department of Defense
- Branch
- Missile Defense Agency
- Recipient company
- PENTA RESEARCH INC
- Proposal award date
- 2023-03-15
- Contract end date
- 2025-03-14
- UEI
- TXQSGD76CNC4
- Solicitation number
- 21.2
- Topic code
- MDA21-007
Research abstract
Penta Research proposes to leverage its SME knowledge and successful experience in analysis, software development, and scenario design to develop an Artificial Intelligence and Machine Learning capability that provides automated scenario designs at a significantly accelerated pace. Penta's prototype will automate the complex decision-making steps involved with designing scenarios and provide a highly intuitive means for expressing the vast constraints and requirements to the AI/ML system. The prototype can be easily integrated into the existing scenario design process for minimum fielding timeline. Approved for Public Release | 22-MDA-11340 (16 Dec 22)
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.
- Innovative Approach for Playback/Restart of Federated Simulations
- An Innovative Approach to Leverage System Safety MBSE Model Information Using AI/ML
- A Space Multi-Object, Multi-Threat Risk-To-Mission (RTM) Assessment Capability
- An Innovative Approach to Playback and Restart of Federated Models
- Model Based System Engineering (MBSE) for Munition and Missile Safety
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Innovative Uses of Artificial Intelligence and Machine Learning in Scenario Planning and Design
- Scenario Optimization Planning Engine (ScOPE)
- Innovative Uses of Artificial Intelligence and Machine Learning in Scenario Planning and Design
- Innovative Uses of Artificial Intelligence and Machine Learning in Scenario Planning and Design
- Knowledge-based, Accelerated Scenario Automation and Design (KAScADE)
Research funding history
10 SBIR/STTR records share this UEI (2015–2025). Reported award amounts total $5,605,411. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense