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Autonomy for Seeking, Understanding, and Presenting Information

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-13-C-0104
Agency Tracking Number: O123-AU6-1161
Amount: $149,874.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: OSD12-AU6
Solicitation Number: 2012.3
Timeline
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-02-26
Award End Date (Contract End Date): 2013-08-26
Small Business Information
1245 LYONS RD STE G
Dayton, OH 45458-
United States
DUNS: 031764616
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Adam Langdon
 Principal Developer I
 (937) 281-0792
 a.langdon@edaptive.com
Business Contact
 Praveen Chawla
Title: CEO
Phone: (937) 281-0790
Email: p.chawla@edaptive.com
Research Institution
N/A
Abstract

Modern net-centric warfare produces and consumes a tremendous amount of data. This data is produced by multiple systems over time and is in different forms and formats. This can easily become overwhelming to an analyst, who must be able to quickly determine the impact of anomalous events or changing trends. New methods are needed to further filter data and extract more meaningful relationships among facts discovered across multiple datasets. The success of the warfighter is not only threatened by the sheer volume of information, but by the increasing risk of conflicting and misleading intelligence. This problem must be addressed for the DoD to remain successful on an increasingly chaotic battlefield. In response to these issues, Edaptive Computing, Inc. presents an innovative solution that specifically addresses the requirements of the OSD and provides a significant step toward analyzing multiple, large, and heterogeneous datasets. This approach consists of data mining agents employing various advanced techniques implemented on scalable distributed platforms. As a result, these techniques can discover new relationships between current events, other intelligence, and historical data. Ultimately, the GUARDS solution allows an analyst to perform critical decision-making with confidence and clear awareness of the situation.

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

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