June 11, 2015

Alexandria, VA – The Distributed Common Ground System – Special Operations Forces (DCGS-SOF) team, which includes significant contributions by TransVoyant, was awarded the Special Operations Forces Acquisition Motivator Award presented at the 2015 Special Operations Forces Industry Conference (SOFIC) held May 19–21, 2015 in Tampa, FL.

The DCGS-SOF delivers mission critical data, including live sensor, streaming, and derived data feeds, to warfighters and military decision makers across the globe. TransVoyant team members actively contribute toward the success of the DCGS-SOF, which includes:

  • providing “unparalleled access to real-time information” for more than 20 nations across the world,
  • integrating government and commercial sensor data to tag, track, and locate devices, and
  • dramatically revamping the DCGS-SOF engineering development and testing process to reduce the time between requirements receipts and providing new capabilities to SOF users worldwide.

TransVoyant has served as a vital member of the DCGS-SOF effort since 2012.

“This effort is a great example of how, with the right expertise, masses of global data can be leveraged to improve operational efficiency, enhance safety and security efforts, and unlock new levels of threat detection and predictive intelligence,” says TransVoyant’s Vice President of Operations, Jim Clautice. “We are very pleased to be able to support the DCGS-SOF effort and to be part of those recognized for advancing military intelligence worldwide.”

 

About DCGS-SOF
This Distributed Common Ground System – Special Operations Forces, program provides global live data, essential intelligence and situational awareness capabilities to SOF leadership at all echelons through the research, testing, and acquisition of non-development commercial and government off-the shelf hardware and software, leveraging existing technology to the greatest degree possible.

About TransVoyant
TransVoyant is at the forefront of the predictive analytics space. From sensors, satellites, radar, video cameras, smartphones and other devices that make up the Internet of Things (IoT), we collect over one trillion events each day, giving us one of the largest repositories of real-time big data in the world. Our proprietary machine learning algorithms analyze these massive big data streams in real-time to produce live and predictive insights that help companies to achieve competitive advantage and government agencies to save lives.

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