SBIR/STTR Research Award
Improved Accuracy and Speed for GEOINT Missions: Next-Generation Model Testing Capabilities for Machine Learning Applied to Synthetic Aperture Radar
Award amount
$735,253Program and phase
SBIR · Phase IIAward year
2022Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- Calypso AI Corp
- Proposal award date
- 2022-07-18
- Contract end date
- 2023-10-23
- UEI
- XK8NHKKVB4D1
- Solicitation number
- X21.2
- Topic code
- AF212-CSO1
Research abstract
Future Tense LLC (DBA CalypsoAI Labs) proposes working with the National Air and Space Intelligence Center (NASIC) in conducting applied technical research for the development of novel methods and capabilities to quantify machine learning (ML) model perfo
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.
- Third-Party AI/ML Model Testing, Evaluation, Validation, and Verification for USAF Platforms
- (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