SBIR/STTR Research Award
Open Call for Innovative Defense-Related Dual-Purpose Technologies/Solutions with a Clear Air Force Stakeholder Need
Award amount
$49,491Program and phase
SBIR · Phase IAward year
2020Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- COMPUTER TECHNOLOGY ASSOCIATES, INC.
- Proposal award date
- 2019-12-12
- Contract end date
- 2020-12-12
- UEI
- YRBANDYQVJK5
- Solicitation number
- DoD SBIR X19.2
- Topic code
- AF193-CSO1
Research abstract
VFusion is a human intelligence-based decision support platform that uses an Expert Systems approach to guide machine learning and artificial intelligence technologies. It enables the development and delivery of highly trusted man-machine symbiosis for detection, prediction, alerting, and explainable decision support across multi-disciplinary, multi-use case, and multi-domain operations. Real-time “fusion†of human intelligence with both structured and unstructured information systems support the ability of VFusion to: (a) perform complex event processing; (b) use pattern recognition to learn from experience; (c) understand contextual nuances, and (d) create new insights. CTA will utilize its existing VFusion semantic reasoning engine, enhanced ML/AI, and integrated workflow automation to effectively process AFSC 448 SCMW procurement instrument (PI) packages. Once complete, PI process automation is expected to significantly reduce the average 30-days required to process PI packages. With the 448th processing more than 10K PI annually, we anticipate tremendous operational improvements in savings, efficiency and quality of PI end-products – thereby improving weapons systems readiness throughout the Air Force. The 448th SCMW, 431 SCMS, 429 SCMS, and 422 SCMS have expressed interest in supporting a Phase II effort, with the expectation is that a Phase III program could eventually support more than 2,500 SCMW administrative employees.
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.
- Biomarker-enhanced Artificial Intelligence-Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics
- Rule Based Semantics and Big Data Based Methods for Early Identification of Patients at Risk of Acute Respiratory Distress Syndrome ARDS
- Rule based Semantics and Big Data Based Methods for Effective Clinical Decision Support CDS A Pediatric Severe Sepsis Case Study using ICU Data
- HYBRID ONTOLOGY AND MACHINE LEARNING BASED METHODS USING EMR DATA FOR EFFECTIVE CLINICAL DECISION SUPPORT (CDS); A SEPSIS CASE STUDY USING ICU DATA
- Automated Patient Safety Ordering System
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