SBIR/STTR Research Award
Computer Software to Detect Coordinated Web Activity From Near-Peer Competitors
Award amount
$73,530Program and phase
SBIR · Phase IAward year
2023Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- Fox and Geese LLC
- Proposal award date
- 2023-05-04
- Contract end date
- 2023-08-05
- UEI
- N2HJC6CZL3N5
- Solicitation number
- X23.5
- Topic code
- AFX235-CSO1
Research abstract
In Phase I, we will assess the technical viability of an adaptation that will provide DAF with the capability to observe coordinated reactions to events through probabilistic analysis of changes to target adversaries' websites.
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.
- Automated Glossary and Contrastive ML to Identify and Explore Subgroup Differences
- Lucent Text: AI to Identify Jeopardous Topics for Air Force Inspection
- NLP ONE TWO THREE: Intuitive DoD Dictionary, Patterns, and Forecasts
- AI ASSISTANT FOR LEGAL PROFESSIONALS
- RACIAL EQUITY DEEP DIVE: Leveraging Machine Learning to Fully Surface Insights From Qualitative Data
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Development of a Semi-autonomous Handheld Robotic Device to Enable Rapid Vascular Access By Non-specialists in Austere Environments
- Evitado TACFI
- AI for Adaptive 3D Infrastructure Design in Navy Engineering
- Smart Thermal Protection Systems for Hypersonics
- Sub-THz Reflectarrays: An Alternative Architecture for Enhanced Array Scaling with 3D Heterogeneous Integration for DoD ELGAR Use Cases
Research funding history
7 SBIR/STTR records share this UEI (2020–2023). Reported award amounts total $2,325,555. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense