Opportunities

---

Base Defense Operations Centers (BDOCs) across the CENTCOM theater perform critical functions in force protection, situational awareness, and threat response. However, most BDOCs rely on disconnected systems, manual monitoring, and localized procedures that limit the speed and clarity of decision-making. Each installation manages its own mix of cameras, sensors, and communications tools, often without full integration or shared data access.

We know there are gaps in data fusion, visualization, and automation that prevent commanders from seeing the full picture of base security in real time. We also know that no single technology or platform currently meets all mission needs — especially in austere, resource-constrained, or coalition environments.

What we don’t yet know is the optimal architecture for connecting these systems — what level of AI or automation is most useful to the operator, what human-machine teaming models work best under stress, and how to deliver a digital BDOC capability that is both secure and scalable across CENTCOM bases.

We have assumptions — that better integration, faster analytics, and improved visualization will increase operational response speed and reduce risk — but we want to test those assumptions through experimentation and open collaboration.

The BDOCx effort is designed to find the best ideas from industry, academia, and government innovators to help answer these questions and shape the future of base defense operations.

Desired Outcomes

Through BDOCx, REJTF seeks to identify, test, and refine digital solutions that enhance base defense operations across the CENTCOM area of responsibility. We are not prescribing a single system or platform — we are looking for proven ideas, adaptable architectures, and creative concepts that can demonstrate measurable improvement in situational awareness, automation, and command decision support.

Desired outcomes include:

• A unified operational picture that fuses sensor, video, and intelligence data into a single interface accessible to BDOC personnel.
   
• AI-assisted analytics and alerting that reduce operator burden and improve threat recognition accuracy.
   
• Rapid decision-support tools that help commanders visualize, prioritize, and respond to multiple incidents simultaneously.
   
• Modular, open architectures that allow data and tools to integrate with existing CENTCOM systems and coalition networks.
   
• Demonstrable progress within 60 days, consistent with REJTF’s rapid experimentation model — showing that concepts can move from white paper to field evaluation quickly.
   

Our goal is not to over-engineer a solution — it is to learn what works, what doesn’t, and what’s possible when we open the problem to the best ideas from across the defense innovation ecosystem.

Call to Industry 

REJTF is seeking the best ideas from industry, academia, and non-traditional defense partners to help modernize base defense operations across the CENTCOM theater. We recognize that innovation often begins outside traditional government channels — and that many of the technologies needed to protect our forces already exist in commercial or dual-use forms.

We’re not looking for fully developed programs of record. We’re looking for adaptable solutions, creative integrations, and scalable architectures that can be tested, refined, and transitioned through hands-on experimentation.

Participants are encouraged to bring forward:

• Proven technologies that could enhance situational awareness or threat detection.
   
• Data fusion and visualization tools that simplify complex operating environments.
   
• AI/ML capabilities that improve decision support without overwhelming the operator.
   
• Open, modular architectures that promote interoperability and security.
   

Every submission will help us learn — not just what works, but what should work in real-world conditions. 

This is an open opportunity to shape the future of base defense through collaboration, iteration, and rapid learning — delivering capabilities that matter, at the speed of relevance.