Dignitas Awarded URSA Program Contract

 

Posted on September 23th, 2020

Dignitas Technologies, LLC (Dignitas) has been awarded a new, multiyear contract with the Defense Advanced Research Projects Agency (DARPA) to provide test and evaluation (T&E) support to the agency’s Urban Reconnaissance through Supervised Autonomy (URSA) program. Ravenswood Solutions (Ravenswood) will serve as a subcontractor. 

The T&E support will help URSA in its quest to improve U.S. military reconnaissance and surveillance for threat identification in urban environments. Because complex terrain can mask personnel movement and obscure approaching threats to U.S. forces, URSA is seeking to validate technologies and techniques intended to actively detect threats and establish positive identification in urban settings. Dignitas and Ravenswood will provide operations and logistics management, data collection and analysis, and performance assessment for the validation tests using Ravenswood’s Mobile Ground Truth System. 

 

“The urban environment has presented enduring difficulties for the U.S. military,” said Dignitas President and CEO Elizabeth Burch. “Dignitas is excited to help DARPA solve this challenge.” 

 

Ravenswood CEO Kipp Peppel agreed. “Ravenswood looks forward to supporting the URSA program,” he said. “We stand ready to do our part in making troops safer during urban-based operations. 

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Dignitas Technologies, LLC, a Certified Woman-Owned Small Business, founded in 2004, is providing system and software engineering services for the modeling and simulation community with a mission to shape the future of simulation with innovative technology. Dignitas leads several Small Business Innovation Research projects and supports a wide range of large and small programs spanning the Live, Virtual, and Constructive domains across a diverse customer set. Dignitas has extensive experience and successful past performance in the development of key simulation systems and provides expertise in management, research, engineering, and programming.