SBIR-STTR Award

Artificial Intelligence-Driven Multi-Intelligence Multi-Attribute Metadata Enabling All-Domain Preemptive Measures
Award last edited on: 3/4/2023

Sponsored Program
SBIR
Awarding Agency
DOD : Navy
Total Award Amount
$139,932
Award Phase
1
Solicitation Topic Code
N222-118
Principal Investigator
Shane Carleton

Company Information

IERUS Technologies LLC (AKA: IERUS Technologies Inc)

2904 Westcorp Boulevard Suite 210
Huntsville, AL 35805
   (256) 319-2026
   jason.keen@ierustech.com
   www.ierustech.com
Location: Multiple
Congr. District: 05
County: Madison

Phase I

Contract Number: N68335-23-C-0070
Start Date: 11/7/2022    Completed: 5/9/2023
Phase I year
2023
Phase I Amount
$139,932
In response to the Navys need for an AI-enabled multi-attribute generation system, IERUS Technologies proposes to determine the technical feasibility, design and prototype for a system that can be fully integrated with proper associative databases to monitor and track developing activities/signals in all operational domains. This prototype architecture will extract meta-data attributes from existing operational data sets/data feeds. That meta-data extraction will be things such as events, entities, observations, and relationships between various objects collected from disparate multi-INT data sets that correlate to each other. This prototype architecture will include three relevant scenarios with sample data illustrating the usefulness of an AI-enabled multi-INT data fusion architecture. The output of this data fusion will be an ontological framework representing the events and relationships that are extracted from each data set as well as the events and relationships that span multiple INTs. As part of this architecture, algorithms will be identified specific to each data set that are necessary to extract meta-data information that is not readily available in the data feed.

Benefit:
IERUS expects this project to likewise develop into a similar military/commercial success in several different ways. Data fusion is a growing field used to detect the combination of data across multiple domains be it military assets, police assets or commercial industry such as fraud detection and even election integrity. Law enforcement have used the combination of cell phone data with foundational data (such as geographical features, buildings, etc.) to interdict and prosecute criminals, rioters, theft, fraud, and even international election integrity. During a transition to commercial industry, IERUS would seek out companies that produce activity-based intelligence manual intelligence and propose they utilize enhanced computer algorithms. These companies would include: o Prime contractors (LM, Raytheon, Boeing etc.) on behalf of US government agencies (DoD, NASA, NOAA, etc.) o Ontological reasoning companies such as Palantir and election integrity companies such as TrueTheVote.

Keywords:
multi-INT, multi-INT, Meta-data, Open Architecture, DevSecOps, data fusion, AI

Phase II

Contract Number: ----------
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
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Phase II Amount
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