Industries: Government - Military

 

The complexity of today's military operations has placed unprecedented challenges on commanders. In the battlefield, sensor data, legacy systems and live data streams can overwhelm the commander and command and control systems. Force on force battle strategies involve highly dynamic, complex, and life and death decision making. Successfully running one of the world's largest, most complex, and fast-paced supply chains and providing logistical support, food, ammunition, water, etc. to hundreds of thousands of military personnel requires completely different kinds of decision tools.

 

For command and control, Gensym's G2 rule-engine platform is especially well suited for developing and deploying rule-driven, time-critical applications. These applications obtain live data from databases, sensors, simulators, network systems, human operators, and other sources to provide real-time intelligence that increase the agility and minimize the risks of military operations.

 

For force on force battle strategy, G2 models the operational architecture of a battle plan, performs time-based simulation, and generates operational orders. Rules of engagement automatically trigger when appropriate. Command staffs run multiple scenarios in parallel to determine the best courses of action. Once complete, the models can go online for real-time battlefield support.

 

For supply chain, logistics, and business process management, the G2 platform and G2 products provide low-risk, nondisruptive means of testing and what-if analyzing policies and procedures through rule-driven modeling and simulation. Once complete, models can go online to support real-time operational decisions.

 

Who is using G2 for military operations? Boeing, CSC, Dyncorp, Lockheed Martin, the U.S. Air Force, the U.S. Army, U.S. Central Command, U.S. Department of Defense, U.S. Logistics Innovation Agency, intelligence agencies, and more.

 

Gensym Products for Government
G2
G2 ReThink
G2 Optegrity
G2 Integrity

 

 

 

 

 

 
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