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.
Valued at $400,000, the contract also includes additional options worth more than $1m if exercised over two years.
How well do you really know your competitors?
Access the most comprehensive Company Profiles on the market, powered by GlobalData. Save hours of research. Gain competitive edge.
Thank you!
Your download email will arrive shortly
Not ready to buy yet? Download a free sample
We are confident about the unique quality of our Company Profiles. However, we want you to make the most beneficial decision for your business, so we offer a free sample that you can download by submitting the below form
By GlobalDataThe 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.
See Also:
"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.