US Navy contracts Charles River Analytics for Navy Tactical Cloud effort

7 March 2016 (Last Updated March 7th, 2016 18:30)

Charles River Analytics has won a contract with the US Navy as part of the Navy Tactical Cloud effort to enhance data capabilities in combat environments.

Charles River Analytics has won a contract with the US Navy as part of the Navy Tactical Cloud effort to enhance data capabilities in combat environments.

Awarded by the Office of Naval Research, the 11-month, broad agency announcement (BAA) contract requires the company to develop a framework for probabilistic, multi-source naval analytics and analytic services called Navalytics.

In addition, the contract covers the provision for devising mechanism to rapidly develop and deploy mission-critical analytics.

"The reusable architecture for distributed analytics can be used in many domains, such as real-time health monitoring, threat assessment, and intelligence analysis."

Valued at $400,000, the contract also includes additional options worth more than $1m if exercised over two years.

The company said: "Navalytics combines Charles River's Figaro probabilistic programming language with a modular, reusable framework for developing reusable analytics modules. Charles River will add distributed, big data-enabled algorithms to Figaro as part of the Navalytics effort.

"The reusable architecture for distributed analytics can be used in many domains, such as real-time health monitoring, threat assessment, and intelligence analysis."

The new Navalytics is for providing support for probabilistic reasoning, besides handling missing, unreliable, and stale data.

The US Navy is currently working on developing the Navy Tactical Cloud Reference Implementation (TCRI) to facilitate access to shared sensors and computing resources.

TCRI initiative aims at addressing significant uncertainty in war fighting domains, the volume of data available through modern sensors and networks, and the time and cost constraints in creating unique analytics for specific data sources and data relationships.