SBIR/STTR Research Award
AI Cross-validation of IoT systems to increase Accuracy, Trust, and Mission Readiness
Award amount
$1,197,907Program and phase
SBIR · Phase IIAward year
2023Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- THERMOAI INC
- Proposal award date
- 2023-07-20
- Contract end date
- 2025-04-21
- UEI
- LNFRKV1LFNM5
- Solicitation number
- X22.4
- Topic code
- X224-OCSO1
Research abstract
Leveraging advanced cyber-physical systems (CPS) and clustering machine learning can crosscheck signal in Air Force Internet of Things (IoT) systems that control critical infrastructure, autonomous vehicles, and C4ISR control systems- increasing accuracy,
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.
- Combustion Optimizing artificial intelligence to increase energy efficiency and mission readiness
- Combustion optimizing artificial intelligence to reduce emissions and increase fuel efficiency
- AI Cross-validation of IoT systems to increase Accuracy, Trust, and Mission Readiness
- STTR Phase I: Industrial combustion optimization using machine learning to reduce emissions and increase fuel efficiency
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Sustainable, Non-Incineration-based Destruction of Air Force Hazardous Waste Stockpiles : TACFI
- IRONCLAD: Integrated Resilient Operations for Naval Cloud and AI Deployments
- Advancing Trustworthy, High-Performance LLM Applications with Multimodal Data Access
- Armed Overwatch & sUAS Close Air Support Solution for Air Force Special Operations
- Runway Integrity Validation through Soil Moisture Measurements from a small UAS
Research funding history
5 SBIR/STTR records share this UEI (2020–2024). Reported award amounts total $1,672,378. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, National Science Foundation