SBIR/STTR Research Award
Machine Learning for Defense Applications
Award amount
$50,000Program and phase
SBIR · Phase IAward year
2019Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- SparkCognition, Inc.
- Proposal award date
- 2019-01-31
- Contract end date
- 2020-01-31
- UEI
- SHXCM2Q87NB5
- Solicitation number
- 18.3
- Topic code
- AF183-002
Research abstract
SparkCognition partnered with SOFWERX to develop an adaptive, artificial intelligence-powered solution to predictive maintenance. The main goal of this solution was to identify major equipment failures across a limited set of historical data provided by SOFWERX. SparkCognition and SOFWERX used aircraft maintenance data and manuals to predict failures of critical systems, with SOFWERX providing the data and validating generated models
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.
- Decision Impact Analysis with Artificial Intelligence
- F16 Maintenance Analytics 149th Fighter Wing
- Machine Learning for Defense Aviation Applications
- F16 Predictive Maintenance for the 149th Fighter Wing
- (3) Predictive Analytics for LPD-17 SAN ANTONIO Class MPDE
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- AlphaICE: Autonomous Intelligent Combat Engagement
- Advanced Algorithms for Radar Classification of Airborne Targets
- ZombieCam: Machine Learning common-sense anomaly detection for defense applications
- Near Real Time Learning Counter UAS system
Research funding history
8 SBIR/STTR records share this UEI (2019–2021). Reported award amounts total $2,416,173. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense