
Slingshot Aerospace unveils TALOS for AI-driven satellite warfare and ops
Slingshot Aerospace, an innovator in artificial intelligence solutions for satellite tracking, space traffic management and orbital simulation, has unveiled Slingshot TALOS, short for Thinking Agent for Logical Operations and Strategy. This new autonomous AI agent is designed to simulate realistic satellite behaviour and tactics within training and modelling environments, enhancing the preparedness of defence forces operating in space.
TALOS leverages Slingshots proprietary behaviour cloning pipeline to learn and replicate authentic spacecraft manoeuvres, including space warfare tactics and orbital dogfighting strategies. When given a mission, TALOS independently analyses its surroundings, formulates strategies and executes operations in a highly accurate, physics-based simulation of Earths orbital environment.
Tim Solms, CEO of Slingshot Aerospace, said: '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. TALOS builds upon years of collaboration with the US Space Forces Operational Test and Training Infrastructure (OTTI) and Slingshots 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.'
TALOS recently played a central role in exercises with the US Space Forces 57th Space Aggressors Squadron, which explored its capabilities as a force multiplier for advanced training. During the exercises, TALOS demonstrated its ability to simulate adaptive, machine-speed adversarial behaviours, expanding the realism and scale of space combat scenarios. The AI agent also contributed to the planning phase of the Space Flag exercise series, offering data-driven input that is expected to inform its ongoing integration in future operations.
Beyond simulation, TALOS has real-world application in spacecraft mission support. By integrating Slingshots extensive tracking data and mission intelligence resources, including the Seradata satellite and launch database, TALOS autonomously assesses space environments, evaluates strategic options and recommends optimal courses of action to ensure mission safety and effectiveness.
With the launch of TALOS, Slingshot Aerospace advances its mission to enable safer, smarter, and more responsive operations in Earths increasingly dynamic and contested orbits.
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TALOS is an autonomous AI agent that simulates satellite tactics including training, maneuvering and space combat, within a physics-accurate orbital environment. Slingshot Aerospace, an innovator in artificial intelligence solutions for satellite tracking, space traffic management and orbital simulation, has unveiled Slingshot TALOS, short for Thinking Agent for Logical Operations and Strategy. This new autonomous AI agent is designed to simulate realistic satellite behaviour and tactics within training and modelling environments, enhancing the preparedness of defence forces operating in space. TALOS leverages Slingshots proprietary behaviour cloning pipeline to learn and replicate authentic spacecraft manoeuvres, including space warfare tactics and orbital dogfighting strategies. When given a mission, TALOS independently analyses its surroundings, formulates strategies and executes operations in a highly accurate, physics-based simulation of Earths orbital environment. Tim Solms, CEO of Slingshot Aerospace, said: '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. TALOS builds upon years of collaboration with the US Space Forces Operational Test and Training Infrastructure (OTTI) and Slingshots 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.' TALOS recently played a central role in exercises with the US Space Forces 57th Space Aggressors Squadron, which explored its capabilities as a force multiplier for advanced training. During the exercises, TALOS demonstrated its ability to simulate adaptive, machine-speed adversarial behaviours, expanding the realism and scale of space combat scenarios. The AI agent also contributed to the planning phase of the Space Flag exercise series, offering data-driven input that is expected to inform its ongoing integration in future operations. Beyond simulation, TALOS has real-world application in spacecraft mission support. By integrating Slingshots extensive tracking data and mission intelligence resources, including the Seradata satellite and launch database, TALOS autonomously assesses space environments, evaluates strategic options and recommends optimal courses of action to ensure mission safety and effectiveness. With the launch of TALOS, Slingshot Aerospace advances its mission to enable safer, smarter, and more responsive operations in Earths increasingly dynamic and contested orbits.


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