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Open Call for Innovative Defense-Related Dual-Purpose Technologies/Solutions with a Clear Air Force Stakeholder Need

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-19-P-A121
Agency Tracking Number: F192-001-0455
Amount: $49,997.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF192-001
Solicitation Number: 19.2
Timeline
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-08-02
Award End Date (Contract End Date): 2020-08-02
Small Business Information
1250 Connecticut Ave NW Ste 700
Washington, DC 20036
United States
DUNS: 117025941
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Arun Sankaran
 Partner
 (703) 579-7397
 arun@202group.com
Business Contact
 James Thompson
Phone: (202) 288-8736
Email: jim@202group.com
Research Institution
N/A
Abstract

The US Air Force relies on a global supply chain that is increasingly commercial, and thus continuously subject to foreign influence as evidenced by the Chinese Supermicro hack. Foreign influence on the vendors serving the US Air Force is a persistent and high-risk challenge that can only be addressed through continuous monitoring. However, the current process for supply chain illumination relies heavily on tedious manual research and is not standardized across the Air Force. A robust supply chain risk illumination solution must be able to harness a vast amount of global commercial data while providing outputs that are meaningful and easy for users to interpret within the context of the DoD supply chain. 202 Group will deliver an integrated data analytics solution to identify a foreign association of vendors in the Air Force supply chain. Our solution combines 202 Group’s commercially proven database and automated data pipeline processes with two powerful venture-funded artificial intelligence (AI) software platforms. Together, our team brings a deep understanding of DoD procurement and supply chain data, hard to access foreign government open data, vast commercial data sources in any language (e.g., LexisNexus, ThompsonReuters), and leading AI technologies.

* Information listed above is at the time of submission. *

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