SBIR/STTR Research Award
Applying Machine Learning models to improve readiness to deploy and fight at Department of the Air Force
Award amount
$74,733Program and phase
STTR · Phase IAward year
2023Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- J3D LABS INC
- Proposal award date
- 2023-05-03
- Contract end date
- 2023-08-03
- UEI
- XGJ4BKNL9C78
- Solicitation number
- X23.D
- Topic code
- AFX23D-TCSO1
Research abstract
The Air Force (AF) provides no automated data analysis and scheduling tools to vehicle fleet management personnel. As a result, every AF base has attempted their own solutions implemented through Microsoft Excel or Access to facilitate fleet management. P
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.
- Tactical Readiness Through Predictive Coordination of Ground Vehicle Operational Maintenance
- Powering Persistent Logistics: AI/ML-Enabled Scheduling Optimization in support of ACE.
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Radiation Threat Mitigation System to Enhance Resilient, Rapidly Deployable Proliferated Warfighter Space Architectures
- Streamlining Acquisition Operations with Generative AI-powered Natural Language Search
- NEXT GENERATION SOFTWARE SUPPLY CHAIN SECURITY
- Efficient and Reliable Multi-kernel Plasma Ignitor for Hypersonic Scramjets
- Machine Learning Security (MLSec) Attack Workbench For Red Teaming Of Autonomous Assets
Research funding history
3 SBIR/STTR records share this UEI (2023–2025). Reported award amounts total $1,984,564. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense