Raft demos StarSage and [R] AIMS

On April 29, Raft announced the successful demonstration of StarSage, its agentic AI battle management system, and [R] AI Mission System ([R] AIMS), a lightweight AI platform that fuses data, AI agents, and both limited and large language models into a unified ecosystem, during the U.S. Air Force’s Decision Advantage Sprint for Human-Machine Teaming (DASH) at the Howard Hughes Operations (H2O) Center in Las Vegas, NV. StarSage delivers autonomous command and control capabilities, while [R] AIMS equips operators with mission-specific AI capabilities to enhance speed, clarity, and confidence in dynamic environments.

Together, the platforms processed simulated radar, data link, chat, and voice feeds to identify threats, generate BattleEffects, and task friendly aircraft—all under full human oversight. StarSage operated as the decision engine, while [R] AIMS aligned with the ABMS CFT’s Transformational Models to fuse and operationalize insights at machine speed.

The Air Force evaluated Raft’s platforms against critical metrics including speed, accuracy, completeness, and operator confidence. StarSage achieved a 99% success rate in identifying and responding to hostile formations in under two seconds and adapted algorithms in real time based on operator feedback—pushing the boundaries of real-time human-machine teaming.

“Participating in the DASH event was a critical opportunity to showcase our agentic AI capabilities in an operationally relevant environment,” said Shubhi Mishra, founder and CEO at Raft. “This event is a key step forward in accelerating the deployment of AI-enabled battle management capabilities across the Air Force.”

Source: Raft

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