SBIR/STTR Research Award
(9) Trusted (Certified) AI
Award amount
$149,855Program and phase
SBIR · Phase IAward year
2020Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- Calypso AI Corp
- Proposal award date
- 2019-11-21
- Contract end date
- 2020-04-20
- UEI
- XK8NHKKVB4D1
- Solicitation number
- 19.3
- Topic code
- N193-A01
Research abstract
The goal of the Calypso effort is to provide the Navy with potential methods and approaches for testing AI/ML models and for developing a certification capability prior to deployment of models across USG networks. This effort will provide the Navy with a critical capability across AI/ML development and deployment – the ability to achieve operational explainability (does the model do what it says it does and how does it do it?) and robustness (how resilient is the model to adversarial attack and performance errors?).
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
- Third-Party AI/ML Model Testing, Evaluation, Validation, and Verification for USAF Platforms
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Afloat Additive Manufacturing
- Maintenance, Sustainment, and Operations of Land Based Test Facilities
- Resilience of Interconnected National Market Infrastructure
- Advanced Correlator - Navy (ACOR-N) and Cooperative Engagement Capability (CEC) Data Fusion Testing Using Data Collected by Jove Sciences, Inc. (JOVE)
- Verification Radiofrequency Ensemble Classifier
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