SBIR/STTR Research Award

Enterprise Data Fusion Visualization

Award identifier 4cf9be3895ad6867b59098ec23b41d37cee68eb555f6127b5751ce06e3a0c4acAwarding agency Department of Defense · Special Operations Command

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2021

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Special Operations Command
Recipient company
KESTREL TECHNOLOGY GROUP, LLC
Proposal award date
2021-04-28
Contract end date
2021-11-05
UEI
UWSPNZMG3P97
Solicitation number
21.1
Topic code
SOCOM211-002

Research abstract

Kestrel Technology Group, LLC. (KTG) and its partners interpret SOCOM211-002 feasibility study requirement as a study on how to adapt and expand data fusion and knowledge management technology to create an intuitive and operationally capable system that promotes search querying across multivariate data sources and how machine learning (ML) can enhance this process. B01/B02 is a data acquisition exercise and is addressed by the use of SQL and NOSQL databases that maximize data ingest flexibility through manual batch, auto-batch, continuous feed, sensor inputs and web services in standard formats (e.g. xform, .json, .csv, .kml, .xml, .shp, geotiff, etc.). This approach addresses a preponderance of use cases for ingest to analytic repositories. The process will expand upon KTG concepts for normalized, multi-table, multi-source, and compound query processing to accommodate intelligently enhanced reports and data visualizations. B03/B04 are the enhanced knowledge product solution elements. This will be architectural expansion and algorithmic enhancement to KTG concepts for sensor fusion (eg. UAV to field sensor) and network analysis (eg. Social Network Analysis, Dynamic Network Analysis). This architecture supports opportunities to leverage ML at three separate stages. During the early stages ML can be used for data validation, in the intermediate stages for algorithmic processing and categorization, and in the late stages for assisted data visualization. The development use case will be the development of a profile database; a complex repository where ML can aid in database construction as well as serve as an intelligently mined query source itself. The repository will be rich in multivariate derivations reflecting the many ways groups of entities are related. B05 will incorporate a strategy of expanding the user experience from a team composed of technical, commercial, and tactical product developers. Senior consultants with pertinent backgrounds can define the key value metrics and goals for a given line of operation. This will inform the broad approach development team to examine state of the art solutions and conceptualize new requirements. B06 will leverage specific expertise in secure communications to create an environmentally low visibility/low intercept system footprint with approaches including a diversity of operating configurations. This versatility is envisioned to benefit SOCOM as their operating regimes involve vastly variable conditions. This research will leverage existing proxy server technology in deployment by KTG, expanded for a POC schema, and ultimately, deployment. The foundational underpinnings for the comprehensive approach of B01-B04, B06 plus the research team assembled for B05 decreases risk and increases outcome potential as the focus is on evolving from an already capable and agile baseline.

Technology keywords

Not reported

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.