MAKANA: A Microservices Machine Learning Platform for Automated AI

Mobius Logic proposes to solve the USAF ISR problems facing Fusion Analysts related to Multi-INT and PAI data fusion and search by using MAKANA, a microservices, open architecture platform for automated AI. Our proposed effort in Phase II is to perform an adaptation to MAKANA resulting in a Minimum Viable Product (MVP) implementation for an Airman Role-based Intelligence Search Engine (A-RISE) made up of three microservices on the MAKANA platform. A-RISE will offer ISR Fusion Analysts an easy-to-use search interface that will learn, over time, their search patterns and produce faster and more relevant search results than the current systems. The use of microservices will enable a smoother transfer of this technology from the UNCLASSIFIED to the CLASSIFIED domains. The Phase II effort will involve: (1) building out the MVP version of A-RISE microservices, and (2) reporting on the performance improvement in search capability compared to current search tools available to airmen. Mobius Logic has successfully implemented and sold MAKANA for use-cases in the financial services industry, and A-RISE will be another set of use-cases that use MAKANA to deliver on the USAF ISR needs. The Phase II work proposed falls in-line with our growth and commercialization strategy for MAKANA.