SBIR/STTR Research Award
Low/No Code Data Manipulation and Discovery for Special Operations Forces
Award amount
$1,224,900Program and phase
SBIR · Phase II – Direct to Phase IIAward year
2022Award details
- Awarding agency
- Department of Defense
- Branch
- Special Operations Command
- Recipient company
- EQUITUS CORPORATION
- Proposal award date
- 2022-09-27
- Contract end date
- 2023-09-30
- UEI
- RV37VJ99WRM5
- Solicitation number
- 22.4
- Topic code
- SOCOM224-D003
Research abstract
SOF operators have a need to merge data of different types from disparate sources without the assistance of a Data scientist. Equitus was designed with intuitive toolsets that empowers operators-analyst without coding expertise to perform analysis of complex data sets. It includes popular deep learning frameworks and their dependencies. The Equitus platform replaces the coding requirement which drop and drag features to allow analyst to combine, integrate, and analyze big or small data from across the intelligence spectrum. The drag and drop features allow users of all technical levels to easily introduce new data sets into the analytic environment.
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.
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
Research funding history
2 SBIR/STTR records share this UEI (2020–2022). Reported award amounts total $1,274,650. Reported amounts are not federal obligations.
Phases: Phase I, Phase II – Direct to Phase II
Agencies: Department of Defense