RTX (Raytheon)

RTX BBN Technologies announced a DARPA-funded research contract in August 2025 to develop DONATELLO, an AI system that uses large language models to translate complex regulatory and legal texts into machine-readable logic for use by military and government decision-makers. The system is in active research, not yet deployed in production.

DONATELLO (DeONtic AssistanT Enabled by Large Language mOdels) is designed as a human-in-the-loop AI solution. It takes dense regulatory texts—such as military rules of engagement or government compliance documents—as input and produces executable logical representations that AI systems can apply in a verifiable, explainable way. The project is funded through DARPA's CODORD program and is being developed in partnership with Johns Hopkins University and Stony Brook University. RTX BBN Technologies serves as the prime contractor. The system targets operational scenarios where DoD personnel cannot access legal or regulatory experts in real time.

Raytheon, an RTX business, announced a strategic collaboration with Amazon Web Services (AWS) in December 2025 to deploy AI and machine learning services for satellite data processing and space mission control operations. The effort targets national security and commercial space customers.

The Raytheon-AWS collaboration integrates AWS AI/ML services—including Amazon SageMaker and Amazon Bedrock—into Raytheon's mission data processing pipelines and constellation command-and-control systems. Inputs include satellite telemetry and mission data collected via Raytheon's space systems; outputs include faster processed intelligence, improved mission reporting, and data-driven command-and-control decisions for satellite operators. The collaboration also includes deploying AWS Outpost edge infrastructure for on-premises mission management. RTX confirmed active programs are already running under this framework for both government and commercial customers as of December 2025.

Raytheon, an RTX business, tested the first-ever AI/ML-powered Radar Warning Receiver (RWR) system for fourth-generation fighter jets, with procurement expected to begin in 2025. The system, called CADS (Cognitive Algorithm Deployment System), uses AI to sense, classify, and prioritize incoming radar threats in real time.

CADS combines an embedded graphics processing unit (GPU) with Deepwave Digital's computing stack, enabling AI and machine learning models to run directly on Raytheon's legacy radar warning receivers at the sensor level. The system receives radar signal data as input and produces threat classifications and priority rankings as output. RTX confirmed successful flight testing on an F-16 at an Air National Guard test range, with Air Force procurement targeted for 2025. The system is intended for integration across multiple fourth-generation platforms, including F-15 and F-16 aircraft.