Data AnalysisVerified
Reviewed and published by trentmaziarz, July 7, 2026. Discovered and drafted by our automated research pipeline.
Raytheon Intelligence & Space deployed a machine learning-based anomaly detection system for the US government's Joint Polar Satellite System to flag potential satellite hardware problems before they disrupt missions. The system was developed in partnership with C3.ai and reported publicly in 2021.
Details
Working with C3.ai, Raytheon's Intelligence & Space division created a predictive anomaly detection capability embedded in satellite ground station software. The system takes real-time telemetry data from low Earth-orbiting satellites as input and produces early warnings of potential battery system failures or other anomalies as output, allowing ground operators to intervene before mission disruptions occur. The algorithm was trained on nearly 3.7 billion records of historical telemetry data spanning four years. At the time of the 2021 announcement, this was described as a pilot capability.
Products affected
Joint Polar Satellite System ground software
Sources & Evidence
Company Disclosure
Cite this record
Trace Foundation. (2026). RTX (Raytheon): Raytheon Intelligence & Space deployed a machine learning-based anomaly detection system for the US government's Joint Polar Satellite System to flag potential satellite hardware problems before they disrupt missions. The system was developed in partnership with C3.ai and reported publicly in 2021 (data as of 2026-07-07) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/54e90c24-a498-4655-8ab8-73455ed42df1. Accessed October 4, 2026.
- Stable link
- https://www.aitrace.org/r/practice/54e90c24-a498-4655-8ab8-73455ed42df1
- Data as of
- July 7, 2026
- Last verified
- Not recorded
Other practices by RTX (Raytheon)
OtherRTX 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.Data AnalysisRaytheon, 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.OtherRaytheon, 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.
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