SBIR-STTR Award

Engagement System for International Military Students (ESIMS)
Award last edited on: 6/26/2023

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$517,309
Award Phase
2
Solicitation Topic Code
AF191-005
Principal Investigator
Chris Just

Company Information

ETC International LLC

2400 Whitton Way
Virginia Beach, VA 23453
   (757) 752-8778
   info@etcintl.com
   www.etcintl.com
Location: Single
Congr. District: 02
County: Virginia Beach city

Phase I

Contract Number: FA8751-19-P-A045
Start Date: 3/6/2019    Completed: 6/4/2019
Phase I year
2019
Phase I Amount
$50,000
Leverage mobile application software development and customer relationship management (CRM) technology to provide US teams tasked with training partner nation personnel a tool to efficiently conduct professional training events while streamlining international student data collection and sharing.security cooperation, security assistance, international military students, training management, PROCESS IMPROVEMENT, mobile solution

Phase II

Contract Number: FA8649-19-C-A020
Start Date: 8/5/2019    Completed: 8/5/2021
Phase II year
2019
Phase II Amount
$467,309
ESIMS is a training management system tailored to answer the unique needs of the Air Force (AF) Security Cooperation (SC) Enterprise and broader SC Enterprise. ESIMS' mobile app provides AF SC training providers (Air Advisors, Combat Air Advisors, Schoolhouses, etc.) with a tailored training management system makes managing & executing their training engagements with International Military Students (IMS) easier and more effective. The very intentional side-effect of ESIMS' mobile app usage is increased quantity and quality of IMS data and data products (After Action Reports, Lessons Learned, etc.) that are made available to the SC Enterprise through ESIMS' Government cloud backend that enables data-driven decision support, IMS alumni engagement, action recommendations, and business intelligence (BI) for AF SC and broader SC Enterprise stakeholders at all levels. ESIMS's RAPID Phase II will enable the equivalent of an "automated staff officer" through the implementation of machine learning and cognitive services for the AF SC Enterprise and broader SC Enterprise. These communities will experience these features in the form of key insight reports designed to promote further data-driven decision support from ESIMS' SC and IMS data.