SBIR/STTR Research Award
Third-Party AI/ML Model Testing, Evaluation, Validation, and Verification for USAF Platforms
Award amount
$49,589Program and phase
SBIR · Phase IAward year
2022Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- Calypso AI Corp
- Proposal award date
- 2021-11-05
- Contract end date
- 2022-02-03
- UEI
- XK8NHKKVB4D1
- Solicitation number
- X21.2
- Topic code
- AF212-CSO1
Research abstract
The lack of trust in AI/ML slows down deployment, and perpetuates operational inefficiencies, and wastes R&D funding. The trust deficit is further exacerbated by the fact that end-users purchase ML models from external vendors with little to no insight in
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.
- Improved Accuracy and Speed for GEOINT Missions: Next-Generation Model Testing Capabilities for Machine Learning Applied to Synthetic Aperture Radar
- (9) Trusted (Certified) AI
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
5 SBIR/STTR records share this UEI (2020–2022). Reported award amounts total $4,234,680. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense