SBIR/STTR Research Award
Data Labeling to Improve USAF Predictive Maintenance Systems
Award amount
$49,572Program and phase
SBIR · Phase IAward year
2022Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- PANDATA TECH, INC.
- Proposal award date
- 2021-11-03
- Contract end date
- 2022-02-07
- UEI
- XG8JMMD93L47
- Solicitation number
- X21.2
- Topic code
- AF212-CSO1
Research abstract
Pandata Tech’s data labeling system works with any existing software or time series IoT artificial intelligence/machine learning algorithm to label data. This improves insight gained from applications and systems and makes them faster and more explainable
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.
- Human-in-the-Loop Data Labeling to Advance Condition Based Maintenance Plus
- Pandata Tech Inc: Data Quality Method for Machine Learning Validation of Time Series Data for More Reliable Digitization.
- Pandata Tech's Data Quality Method (DQM) for Validating Quality, Useful Data
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Monitoring Evolution of Coordinated Inauthentic Behavior
- Automated Target Recognition for Rapid Multitarget Grouping, Discrimination and Neutralization
- Composite Binder Enabling Higher Propellant Loading and Performance for Extended Range and Reduced Mass Missile Propulsion
- Video Based Assessment Capabilities and Human Performance Optimization
- Secure, BYOAD Enterprise Talk, Text, Video, and Data Transmission for Air Force Special Operations Command in Communications Denied/Degraded Environments
Research funding history
4 SBIR/STTR records share this UEI (2019–2022). Reported award amounts total $1,849,125. Reported amounts are not federal obligations.
Phases: Phase II, Phase I
Agencies: Department of Defense