One Fight, One Force: Raft's AI Breakthrough Unifies the Pacific Battlefield

SCHOFIELD BARRACKS, Hawaii – June 11, 2026 – For decades, a persistent challenge has plagued the U.S. military: the inability of different services, and even different units within the same service, to seamlessly share information. This digital friction, often requiring personnel to manually transfer data between incompatible systems in a process derisively known as "swivel chair integration," has been a known vulnerability. In a potential conflict, especially across the vast and contested spaces of the Indo-Pacific, this delay could be catastrophic. Last month, a significant demonstration suggested that this era may finally be drawing to a close.

During the U.S. Army's Next Generation Command and Control (NGC2) Lightning Surge 3 exercise, defense technology company Raft showcased a capability that has long been the holy grail of military modernization. Its Raft Data Platform (RDP) and Raft AI Mission System (RAIMS) successfully wove together disparate U.S. Army and Joint Force systems, sensors, and hardware into a single, cohesive network. The result was a unified, real-time operational picture shared across thousands of miles, from Hawaii to the Philippines, a breakthrough that directly addresses the core challenges of the Department of War’s Indo-Pacific strategy.

The End of Digital Silos

The fundamental problem Raft's technology addresses is interoperability. Historically, military branches have procured bespoke systems that are highly effective at their specific tasks but speak different digital languages. Connecting an Air Force sensor to an Army fires unit, for example, could take months of custom coding and development. During the Lightning Surge 3 demonstration, Raft, in partnership with the 25th Infantry Division and industry giants like Lockheed Martin and Amazon Web Services, proved this integration could be done in hours.

By leveraging a shared data model and an open architecture, the company’s platform acted as a universal translator. It ingested data from various sources—including electronic warfare, unmanned aerial systems (UAS), and logistics—and federated it into a common picture without needing to rip and replace the expensive legacy systems already in place. This aligns perfectly with the Army’s goal for the NGC2 initiative: creating a modular, "plug and play" ecosystem. According to military officials involved in the program, the objective is to dramatically shrink the time from sensing a threat to responding, a workflow often called the "sensor-to-shooter" loop. Raft's demonstration, which supported tens of millions of data exchanges, represents a quantum leap in achieving that speed.

"In modern warfare, delay is defeat," stated Shubhi Mishra, founder and CEO of Raft, in a press release. "We demonstrated U.S. forces can operate as one; sharing data, making decisions, and acting in real time across the most contested environment on earth." This isn't just about technical elegance; it's about delivering a decisive operational advantage where seconds matter.

A Resilient Network for a Contested Theater

Nowhere is this advantage more critical than the Indo-Pacific, the Pentagon's priority theater. The region's defining characteristic is the "tyranny of distance," compounded by an adversary's ability to contest or deny communications through cyber and electronic warfare. A command and control system that relies on a perfect, uninterrupted connection back to a central headquarters is a system destined to fail.

This is where the second major success of the demonstration becomes paramount: resilience. Raft's systems proved effective in what the military calls degraded, denied, intermittent, and limited (DDIL) environments. Even when network connectivity was disrupted, the platform allowed forces at the tactical edge to continue ingesting and processing data locally, maintaining their operational picture. When the connection was restored, the systems automatically synchronized, ensuring everyone, from the soldier in the field to the commander thousands of miles away, was once again seeing the same fight.

This capability is the bedrock of future concepts like Multi-Domain Operations (MDO), where land, sea, air, space, and cyber forces must act in concert. By enabling a resilient, distributed network, this technology empowers smaller, more agile units to operate with a high degree of autonomy while remaining connected to the joint force, a crucial requirement for prevailing in the vast maritime and island environments of the Pacific.

From Data to Dominance: Empowering the Tactical Edge

The true transformation, however, lies in how this flood of unified data is made useful to the warfighter. Simply providing more data can be overwhelming. The strategic value comes from using AI to process that data at the edge, turning it into actionable intelligence that accelerates human decision-making. Raft’s AI Mission System (RAIMS) is designed to do just that, creating what the company calls "super-operators."

This isn't about replacing human commanders with algorithms. Instead, it's about augmenting them. The AI can perform the laborious task of fusing sensor data, identifying potential threats, and recommending courses of action, freeing up personnel to focus on higher-level strategic decisions. According to Mishra, a key part of the company's philosophy is ensuring end-to-end traceability so that operators can understand why the AI is making a recommendation, building the trust necessary for adoption in high-stakes environments.

This approach marks a departure from the traditional model of developing AI in a lab and pushing it to the field. Through programs like its recent "Desert Sentry" contract, Raft is enabling operators to train and adapt AI models themselves, on the battlefield, ensuring the tools are continuously refined to meet real-world operational needs. This shift empowers the tactical edge with unprecedented speed and flexibility, transforming data from a passive asset into the driving force of operational dominance.