SBIR/STTR Research Award
Tactical Targeting Platform for Air Force Intelligence Squadrons Powered by Machine Learning Teams Powered by Machine Learning
Award amount
$49,434Program and phase
SBIR · Phase IAward year
2020Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- VANNEVAR LABS INC
- Proposal award date
- 2020-03-09
- Contract end date
- 2020-06-09
- UEI
- DTMHJS23G4V7
- Solicitation number
- 20.1
- Topic code
- J201-CSO1
Research abstract
Our solution is a tactical targeting platform for intelligence operations teams looking for start points, targets, and trends in volumes of text data. We use machine learning to structure this data, translate it into English, and automatically extract the entities of interest within a user interface designed for an intelligence operations airman who needs to quickly identify actionable intelligence in large caches of foreign language text, such as publicly available information or captured enemy material.
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.
- NASIC GXK STRATFI Proposal - OCR enabled intelligence
- AI-Driven Processing of Foreign Adversary Weapons and Threat Information for Air Force Mission Planning
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- AI-enabled Test Incident Report Analysis Tool
- Flight Development of an ASCENT Propellant Decomposition Chamber
- Mage Duel Serious Game - TACFI
- Model Řne: Scalable Multi-Domain Unified C3 Architecture via Secure and Federated Models
- FA557024Q0006 - TACFI - PeakMetrics - JICAF Innovation Information Domain Initiative
Research funding history
3 SBIR/STTR records share this UEI (2020–2025). Reported award amounts total $5,091,340. Reported amounts are not federal obligations.
Phases: Phase II, Phase I, Phase II – Direct to Phase II
Agencies: Department of Defense