SBIR/STTR Research Award
DEEP: Decision Explanation Engine Platform
Award amount
$1,869,590Program and phase
SBIR · Phase IIAward year
2007Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- MODUS OPERANDI, INC.
- Proposal award date
- 2007-05-16
- Contract end date
- 2009-05-15
- UEI
- HMADMY8YKVP5
- Solicitation number
- 2006.1
- Topic code
- AF06-077
Research abstract
Commanders are required to make mission-critical decisions based on large amounts of distributed, fragmented information. Modus Operandi proposes to develop an innovative software tool to reason about these events and decisions using a semantic process model. DEEP addresses the most pressing technical challenge for decision reasoning; how to focus the ontology and reasoner on the subset of facts and relationships necessary to answer the decision-maker’s question.
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.
- Adaptive Toolset for Testing and Evaluation of Secure Technologies (ATTEST)
- LOGEN (LOGISTICS ENHANCEMENT WITH LIVING INTELLIGENCE)
- LOGEN (LOGISTICS ENHANCEMENT WITH LIVING INTELLIGENCE)
- Prediction of Outcomes for Missions using Machine Learning (POMML)
- AMID: Automated Acquisition Milestone Information, Documentation, and Decisions
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Semantic Knowledge-based Decision Support
- Guide: An Adaptive System for Automating Decision Support
- Semantic Knowledge-based Decision Support
- DEEP: Decision Explanation Engine Platform
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