Raft's StarSage Becomes First Agentic AI to Speak With Live Tactical Systems
Breakthrough moment for Agentic AI-powered command and control during Air Force tactical exercise
"For the first time, agentic AI didn't just integrate into the fight – it connected warfighters, systems, and decision points in real time," said
During the Project Convergence Capstone 5 (PC-C5) exercise, StarSage connected with tactical assets through two Air Force Control and Reporting Center (CRC) Tactical Operations Center-Light (TOC-L) units, one deployed to
In another first, StarSage received and responded to a real-time request for information from a human crew member – delivering battle management command and control inputs with clarity and precision. Human operators later confirmed the AI's communication was not only intelligible, but nearly flawless, despite degraded audio conditions.
StarSage also became the first agentic AI to interface with the TOC-L communications server using live radios. This was only possible after Raft software engineers identified and resolved a previously unknown filter issue in the system. According to the CRC group commander, Raft's solution "enabled something we didn't know was broken."
The agentic AI system also connected to the Air Force's premier simulation network, the Distributed Mission Operations Center (DMOC), where it successfully communicated with live pilots and provided tactical control – two more historic firsts.
Raft also developed a custom program enabling StarSage to ingest and operate with LINK-16, the Air Force's primary tactical data link. The agentic AI tracked live aircraft missions with near-perfect accuracy, saving the Air Force from spending thousands on third-party tools.
StarSage, developed under the Air Force's Advanced Battle Management System (ABMS) Transformational Models of Battle Management framework, mimics the decision-making patterns of human Air Battle Managers (ABMs). During PC-C5, it operated out of the Shadow Operations Center with the 805th Combat Training Squadron at Nellis AFB, where it demonstrated machine learning-driven decision support across multiple operational layers.
Notably, StarSage's voice communications to and from human operators showed low degradation in accuracy and high clarity. Despite static, feedback loops, and unpredictable comms quality, StarSage parsed incoming audio with a level of comprehension that stunned engineers.
Raft's autonomous data fusion platforms and agentic AI capabilities are already deployed across multiple Department of Defense programs and trusted by +25 national security agencies. StarSage builds on this foundation to deliver high-speed, high-accuracy decision-making at the tactical edge.
For more on Raft and StarSage, visit https://teamraft.com/what-we-do/ai-capabilities/starsage/
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SOURCE Raft LLC
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