MOBIUS LOGIC, INC — Department of Defense SBIR Phase I: AF211-CSO1

Description

This project proposes a modification to our commercial product, MAKANA, to provide the U.S. Air Force Inspection Agency (DAFIA) with a human-assisted AI tool to detect emerging topics for Directed Inspections from publicly available information. This project will explore how existing data sources can be leveraged to achieve a more robust understanding of potential programmatic shortcomings and to make recommendations to perform pre-emptive inspections. The solution proposed by Mobius Logic is an Intelligent Directed Inspections Assistant (IDIA) that uses our platform for automated machine learning MAKANA. Mobius Logic will work with the DAFIA Analysis and Assessment Division to conduct a pilot implementation on a set of 100,000 survey responses to prove the feasibility of MAKANA in predicting “emerging” topics for Directed Inspections. The results of the feasibility study will inform the workplan for a Phase II project. Our Phase I Technical Objectives are to (1) work with the Inspection Agency Analysis and Assessment Division to identify the success metrics, (2) assess the feasibility of IDIA on MAKANA with regards to the success metrics, and (3) draft the initial system design for the planned modification to be completed in Phase II.