XRT to Prototype Thinking AI Adversaries in $5.1M USMC Award for Crew Gunnery Training

ORLANDO, FL – April 28, 2026 XR Training (XRT), a leading innovator in immersive defense training systems, has been awarded a $5.1 million Other Transaction Authority (OTA) agreement by the U.S. Marine Corps to develop a paradigm-shifting crew gunnery mission rehearsal training prototype for the Amphibious Combat Vehicle (ACV) – marking XRT’s fourth OTA award in the last three years.

This award supports the Program Requirements for the ACV Suite of Training Systems. It builds directly on the proven success of the Wave Warrior ACV Driver Training System (DTS), now deployed at Marine Corps installations worldwide, which XRT continues to sustain and maintain as the program advances into its next phase of development.

Beyond Scripted Training: Adaptive AI for Peer-Contested Environments

The crew gunnery mission rehearsal prototype is designed to represent the next frontier of the ACV training ecosystem – and a step-change beyond the DTS.

It is a shift from individual skill development to adaptive, AI-driven collective training with intelligent adversaries in peer-contested environments.

While this new platform uses the lightweight simulator base developed by XRT for the DTS, the Crew Gunnery Trainer (CGT) prototype will uniquely leverage agentic, multi-modal AI to ingest doctrine and autonomously construct natural behavioral hierarchies that produce a flexible-thinking enemy force. 

Rather than running scripted responses or predictable patterns, opposing forces will adapt dynamically to crew decisions, creating realistic peer-to-peer tactical scenarios that reflect the complexity of modern multi-domain operational environments. 

Agentic AI friendly units will be able to communicate and coordinate action independently, introducing real-world battlefield geometry and small unit leadership challenges that static training environments simply cannot replicate. 

Further, the prototype will employ AI to ingest planning documents to translate individual crew actions into maneuver force operations and synchronized fires across the battlespace. 

Combined, these AI innovations will bridge the gap between individual proficiency and collective competency, enabling levels of immersion in multi-unit integration and mission rehearsal that have historically been possible only through real-world exercises.

Scaling Individual Crew Skills into Collective Combat Power

Initial development of the CGT prototype centers on Table II Crew Gunnery, and is designed to train crews for stationary and moving target engagement from both stationary and moving platforms under day and limited visibility conditions. 

This prototype framework is being developed to enable instructor-led, performance-based scenarios and Semi-Automated Forces (SAF) supporting pre-live-fire qualification. Once delivered, it will provide a foundation for scalable expansion into mounted operations training and collective mission rehearsal, where forward-deployed forces can simulate and execute mission rehearsal together from any location over the network – maintaining a unified operational picture and synchronized combat power.

The development of this game-changing platform is made possible with PRISM – XRT’s purpose-built system architecture integrating AI with the latest advancements in technology, XR and adaptive learning methodologies. Engineered for longevity, PRISM is rapidly deployable, easy to sustain, and built to evolve as doctrine, vehicle specifications, and mission requirements change over the life of a program.

XRT’s advanced training solutions enable earlier, more frequent reps and sets for individual and collective combat-level training. The result is a training continuum that builds individual Warfighters into mission-ready crews before stepping onto a live vehicle, while delivering massive cost savings through improved safety, repeatability, and resource preservation.

A Proven Model: Accelerating Readiness through Rapid Prototyping

XRT’s fourth consecutive OTA with the Marine Corps is a testament to the effectiveness of this acquisition model, and to the trust XRT has earned as a development partner. 

Free from the constraints of traditional acquisition cycles, XRT’s sprint-based development process keeps Warfighters, trainers, and acquisition leads actively engaged at every stage, reducing program risk and compressing the timeline from concept to fielded capability. This approach aligns directly with the USMC’s force development priorities, including the emphasis on rapid prototyping, experimentation, and fielding outlined in the 39th Commandant’s Planning Guidance.

“What we’re building isn’t a simulator with smarter scripting. It’s a training environment with a genuine adversary that thinks, adapts, and challenges crews in ways the battlefield actually will. The OTA model exists because that kind of capability can’t wait for a five-year acquisition cycle. Our job is to deliver it fast and build it to evolve. This award is another opportunity to prove that’s exactly what XRT does.” — Neil Levin, CEO, XRT

ABOUT XR Training (XRT)

Founded in 2019 by Neil Levin, XRT is a veteran-led defense training technology company specializing in purpose-built, AI-driven simulation systems for ground and air vehicle crews. XRT’s system architecture – PRISM – integrates AI, XR, and adaptive learning to deliver high-fidelity mission training at a fraction of the cost, without the risks associated with live training methods. XRT’s training systems are rapidly deployable, easy to sustain, and engineered to evolve with the fleet. With deep expertise in flexible acquisition models such as OTAs and a sprint-based development process centered on government collaboration, XRT moves fast, fielding the right solution at the right time. As a small business with offices in Bethesda, Maryland, and the University of Central Florida Business Incubator, XRT has delivered proven solutions for the U.S. Marine Corps and the U.S. Air Force. Learn more at XRT.IO.

MEDIA CONTACT 

Neil Levin, CEO, XRT 

info@xrtraining.io

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