Logistics officer planning disaster response from home

DataCrunch Lab awarded Navy SBIR grant to improve resiliency of fragile, remote systems

July 13, 2020

DataCrunch Lab has been awarded a Small Business Innovation Research (SBIR) grant by the Department of the Navy (DoN) to develop an integrated data environment to monitor and maintain systems in fragile, remote environments. Mandatory telework and stay-at-home orders have severely limited visibility of remote systems. The timely flow of information has also been impacted during the coronavirus (COVID-19) pandemic. The DoN is seeking to evolve their logistical support system to provide a quick response during adverse conditions such as pandemics, war, and natural disasters. This grant is part of the Navy’s effort to strengthen the defense industrial base during the COVID-19 pandemic. The technology will have dual-use applications for asset intensive industries that need to maintain remote assets such as Cities, Municipalities, Energy, Utilities, Oil & Gas, Retail, and others.


“We are honored to receive this SBIR grant,” said Zeydy Ortiz, Ph. D., CEO of DataCrunch Lab.  “Our goal is to improve resiliency by augmenting the capability of decision makers in effectively assessing the situation and determining the best way to respond to disruptions,” added Dr. Ortiz.

DataCrunch Lab will be developing an edge analytics platform to assist logistics personnel in getting the right information, communicating the information to the right people, determining the best response, and delivering that response. The platform would aggregate data from different sources – sensors, field reports, maintenance records, etc. – to assess the status of the systems. Currently, issues in these fragile, remote systems are only detected during routine inspection or maintenance. The innovation is focused on identifying anomalies at the remote site and communicating the relevant contextual information needed to quickly plan, service and maintain the remote systems. 


DataCrunch Lab will be leveraging machine learning, artificial intelligence, and Internet of Things (IoT) technologies to quantify the current status of the systems as well as their logistic and maintenance needs.  The innovation is expected to deliver a number of tangible benefits over existing approaches: improved resiliency, increased agility to respond to various conditions, and maximize operational availability.


DataCrunch Lab has a history of innovation.  Their digital assistant project to increase visibility into real-time production and plant operations was the grand prize winner of the GE Brilliant Hacks competition. The project was also recognized as “Highest Potential Value for Manufacturers.” DataCrunch Lab also participated in the Morrisville Chamber of Commerce HOTTovation program.