AF20.3-CSO1 PHASE II_Polysentry Inc
Profile last edited on: 9/2/2022

Total Award Amount
Award Phase
Principal Investigator
Kevin Virgil
Activity Indicator

Company Information

Polysentry Inc

5125 MacArthur Boulevard NW Suite 32B
Washington, DC 20016
   (202) 892-1414
Multiple Locations:   
Congressional District:   00
County:   District of Columbia

Phase I

Phase I year
Phase I Amount
As ever more sensors are deployed via the military internet of things (MIoT) and publicly available information (PAI) sources, commanders and their associated intelligence staffs will soon be overwhelmed with data. Failure to triage and operationally leverage this data deluge could ultimately have catastrophic results for the Air Force and its situational awareness. Current intelligence data review practices are as outdated as they are inefficient. Generally, two or more analysts must separately review and categorize potentially relevant data in order to limit systemic bias and subjectivity. However, today’s artificial intelligence (AI) innovations are rapidly improving the information corroboration process. The modern analyst team is ideally human-controlled and machine-enabled, and machine learning (ML) is employed to better understand contextual relationships between data records. This symbiotic relationship allows the user to acquire deeper insights that support key organizational objectives. However, even today’s ‘state-of-the-art’ ML algorithms have limitations. While most commercially available qualitative data analysis tools can mine through numerous unique sources in nearly every major foreign language, their ML processes do not reliably deconflict newly discovered data records with known information. Polysentry, a provider of software solutions for both defense and commercial customers, gives decision makers the ability to quickly identify correlations and patterns in unstructured intelligence reports and data records that would have otherwise gone unidentified. With minor adaptations to Polysentry’s commercial technology, defense end-users will gain the ability to discover and extract quantifiable insights from large volumes of complex qualitative data, and then rapidly analyze those outputs to identify previously unseen strategic insights.

Phase II

Phase II year
2022 (last award dollars: 2022)
Phase II Amount
The pace of future conflict is rapidly increasing. As both the United States and near-peer competitors deploy and arm more autonomous vehicles (including aircraft), these systems may prove able to observe-orient-decide-act faster than human operators and...