New advances in AI are making their way to orbital warfare training, allowing for more complex and adaptive space scenarios.
Slingshot Aerospace has launched Thinking Agent for Logical Operations and Strategy (TALOS), an AI-powered system designed to simulate satellite behavior in training and simulation environments.
TALOS uses machine learning to replicate real-world spacecraft tactics, including space maneuvers and combat situations.
The system brings together AI agents that can analyze operational conditions, model adversary behavior, and assist in command decisions with fast, data-driven insights.
“Space has become an integral warfighting domain, and AI-powered training and simulation capabilities will ensure the US, and its allies, are prepared for any relevant warfighting scenario,” said Tim Solms, CEO of Slingshot Aerospace.
Training and Beyond
Developed in collaboration with the US Space Force’s Operational Test and Training Infrastructure, TALOS has already been put through its paces by the 57th Space Aggressors Squadron.
During the test, the system simulated fast, adaptive threats, helping teams develop scenarios more quickly while ramping up the realism and scale of threat patterns.
Beyond training, TALOS can reportedly aid real satellite missions by tapping into Slingshot’s space object tracking tools and intelligence databases.
It continuously monitors the space environment, evaluates mission options, and selects the most effective course of action to boost mission resilience and decision-making.
The tech builds on Slingshot’s growing role in space monitoring. Last year, the company teamed up with DARPA to develop Agatha, another AI system built to detect anomalous behavior within large satellite constellations.
With tens of thousands of satellites expected to enter low Earth orbit, Agatha helps verify that spacecraft operate within their declared missions.
