WINDSOR, CO, July 30, 2025 – Slingshot Aerospace has launched TALOS (Thinking Agent for Logical Operations and Strategy), an autonomous AI agent designed to imitate satellite actions in training and simulation environments. Using behavior cloning, TALOS mimics satellite tactics – such as maneuvering, conflict scenarios, and mission execution – inside a physics-based orbital environment. It evaluates surroundings, assesses strategies, and completes tasks independently.
“Space has become an integral warfighting domain, and AI-powered training and simulation capabilities will ensure the U.S., and its allies, are prepared for any relevant warfighting scenario,” said Tim Solms, CEO of Slingshot Aerospace. “TALOS builds upon years of collaboration with the U.S. Space Force’s Operational Test and Training Infrastructure (OTTI) and Slingshot’s proven virtual environments. It embeds AI agents that simulate realistic threats, optimize real-world operations, and support mission command decision-making with unprecedented speed and precision.”
The U.S. Space Force’s 57th space aggressors squadron collaborated with TALOS to assess its role in training operations. TALOS was used during exercises to simulate complex, adaptive threat behaviors at machine speed, supporting scenario development, adversary simulation, and mission realism. TALOS was also used in preparation for Space Flag, where it helped shape training scenarios and inform planning for future exercises.
In addition to its role in training and simulation, TALOS provides autonomous decision support for spacecraft operations. Using Slingshot’s space object tracking and mission intelligence data, along with the Seradata satellite and launch history database, TALOS monitors the spacecraft’s environment and assesses different options. It selects the best course of action to maintain mission safety, support long-term operations, and enable responsive management.
Source: Slingshot Aerospace
About Slingshot Aerospace
Founded in 2017, Slingshot Aerospace delivers space simulation and analytics solutions to enhance situational awareness in complex environments. Its platform combines data from satellites, drones, aircraft, and ground sensors, applying AI and machine learning to support space object tracking, traffic coordination, and simulation. The system integrates inputs from Slingshot’s Global Sensor Network, the Seradata database, satellite operators, and other sources to create a unified view of space activity – past, present, and projected – used for planning, training, and operations. Slingshot serves both government and commercial clients, including NASA and the U.S. Space Force, aiming to reduce risk and improve safety in space operations. As of 2024, the company has about 137 employees and maintains offices in Colorado and the UK. It secured $30M in funding in September 2024. Slingshot aims to ensure safe, sustainable space operations using modeling, astrodynamics, and data fusion.