SBIR-STTR Award

The Securboration team has developed a micro service framework, Genesis, leveraging Artificial Intelligence/Machine Learning to provide automated updates to entity records and related system models for DIA's Machine Assisted Rapid-Repository System (MARS). This core technology will be extended to include Intelligence Mission Data (IMD) to feed the F-35's Mission Data File (MDF) production processes. The objective of Genesis-IMD is to increase the speed, effectiveness, and quality of IMD and subsequent MDFs for F-35 operations by providing automated updates, when able, or identification of critical threat parametric data requiring analyst intervention. Securboration is currently commercializing several of the micro-services to be used in Genesis-IMD for other customers (e.g. DIA's MARS program), which will buy down risk for the government. This phase one effort will focus on determining the best AF end-users (e.g. NASIC IMD producers and 53rd Electronic Warfare Group IMD consumers/MDF producers) for transition to Phase II and then Phase III with the F-35 JPO, DIA MARS, or a related Program of Record.

Genesis-IMD is a powerful machine learning (ML) engine designed initially for Intelligence Mission Data (IMD) analysts at the National Air and Space Intelligence Center (NASIC), with applicability across all IMD Production Centers, ultimately supporting and accelerating the F-35’s Mission Data File (MDF) production efforts for the F-35 Joint Program Office. A data transformation and recommendation system based on semantic and machine-learning algorithms that pulls data from disparate, external systems, for information identification, classification, and analysis, Genesis-IMD will streamline analyst workflow and clear production bottlenecks slowing MDF production.