Joint Staff Live, Virtual and Constructive (JLVC) Modernization
Abstract
Joint Live, Virtual and Constructive (JLVC) Modernization project will develop and integrate joint training capabilities to enable all-domain collective training within Service and Combatant Command joint exercises. JLVC is the only joint LVC integrating architecture that creates a complex operating environment to enable tactical, operational, and strategic joint training. This modernization effort is a VCJCS and OSD priority and essential to close validated joint training gaps for the Joint Force to train against an increasing China threat. The JLVC Modernization project includes the evaluation of innovative training technologies from Industry, academia and across the Services to ensure efficiency and incorporate technologies that supports the JLVC Modernization construct by focusing on standardizing simulations, data libraries and implementing cross domain solutions, incorporating space, cyber, and realistic electromagnetic spectrum (EMS), Information Operations (IO environments, and increasing capacity and integrating with Allies and partners ensuring the greatest value to the Department of Defense. JLVC Modernization is working directly with CCMDs and the Services to optimize existing training programs of records and training environments while developing Joint interoperability and data standards, AI-based training systems, and integrating next generation Joint LVC training capabilities to ensure inherent training interoperability across all warfighter domains. In addition, JLVC Modernization is leveraging non-traditional industry, academia, and small business consortiums to target, adapt, and accelerate advanced technologies and AI-based training capabilities for rapid technology integration and insertion into the Global Joint Training Enterprise to advance the high-end training environment to enable training and mission rehearsal in support of the Joint Warfighting Concept.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2025
- Source ID
- 4e7a020b8cfb3bc6e66dbec9194b560e