As satellite constellations scale from dozens to hundreds and even thousands of assets, their operators face ballooning data streams that can leave critical signals lost in the noise. Aerospace and Google Public Sector have teamed up on a proof-of-concept AI tool designed to assist in managing these growing networks.
Current standard processes for constellation management often require engineers to rotate between separate screens to monitor bus telemetry, payload status and ground network availability. When an anomaly occurs, on-call engineers typically spend critical minutes manually correlating data to determine if an alarm is a genuine threat.
The prototype tool acts as a force multiplier, automatically monitoring the status of every satellite, and flagging behavioral anomalies in real time. By fusing disparate telemetry streams into a single, intelligent interface, this system moves beyond static threshold alarms and toward predictive behavioral monitoring.
“This concept demonstrates how AI can be a critical operational partner capable of handling the high-velocity demands of modern space domain awareness, helping on-call engineers focus their expertise where it matters most,” said Kevin Bell, senior vice president of Aerospace’s Engineering and Technology Group. “Collaborations like this are an important part of Aerospace’s ongoing work to build connections with industry and accelerate the adoption of innovative technologies to support national priorities in space.”
The AI system, built on Google Cloud’s Vertex AI platform, is specifically designed to support on-call engineers and operators by transforming how data is integrated and how anomalies are triaged. Augmenting passive monitoring with active machine learning models can detect subtle behavioral anomalies—such as a momentum wheel oscillating only when a specific payload is active—that may otherwise go unnoticed until a component failure occurs. The tool can instantly correlate anomalies with relevant contexts, such as recent payload tasks or space weather events, and immediately present potential root causes.
“We are proud to collaborate with The Aerospace Corporation to bring Google’s AI to the final frontier,” said Cameron Groves, director of Rapid Innovation & Specialist Engineering at Google Public Sector. “This pathfinding effort demonstrates that by equipping engineers with the right data at the right time, we can help transform the operator experience from reactive firefighting to proactive problem-solving to accelerate operations. We look forward to seeing this transition from a concept into operational use.”