US Space Force accelerates digital defense readiness with $69.2 million Slingshot Aerospace training contract

The U.S. Space Force has awarded Slingshot Aerospace a $69.2 million SBIR Phase III contract to deploy its MENTAT AI-powered operational training and mission rehearsal platform. The 4.5-year program integrates real-time orbital intelligence and adaptive machine behavior simulation to enable continuous training from operators' home stations.

Slingshot Aerospace has secured a $69.2 million Small Business Innovation Research (SBIR) Phase III contract from the U.S. Space Force to deliver its MENTAT AI-powered mission rehearsal and training platform. Under the 4.5-year initiative, which forms a key part of the military’s Operational Test and Training Infrastructure (OTTI) program, the space intelligence developer will provide high-fidelity training environments to help guard national and allied interests in orbit. This contract builds on previous developmental work and represents the largest individual award in the company's history. Slingshot Aerospace, founded in 2017 and headquartered in El Segundo, California, is a specialized space operations intelligence firm that delivers satellite tracking, data fusion, and space modeling solutions to both commercial and national defense clients.

As orbit becomes more congested and contested, space is increasingly viewed as a critical warfighting domain. Traditional tracking and modeling systems are no longer sufficient to counter dynamic maneuvers and unpredictable activities executed by foreign adversaries. The integration of artificial intelligence is vital for processing vast amounts of orbital data and providing real-time, actionable strategy options. Through Slingshot’s platform, operators will gain persistent access to realistic protect-and-defend simulations, moving critical preparedness exercises from periodic training blocks into a continuous model of active readiness directly from their home stations.

The program centers on the TALOS AI agent, which utilizes a sophisticated behavior cloning pipeline to replicate real-world spacecraft tactics and orbital dynamics without relying on static, human-written scripts. This capability aligns with the Pentagon’s broader initiative to accelerate military AI adoption and transition toward an AI-first force structure. By fusing live orbital data, astrodynamics, and threat modeling into a unified Digital Space Twin, the technology bridges the gap between static situational awareness and active, predictive decision support.

For the broader aerospace and defense sector, this contract highlights the scaling potential of commercial software-as-a-service (SaaS) and AI startups within federal budgets. The transition of an SBIR project into a high-value Phase III contract signals a strong government appetite to fund defense-tech companies that can rapidly deploy commercial solutions. As both government entities and private commercial operators expand their satellite networks, the demand for advanced orbital traffic management, autonomous collision avoidance, and threat simulation tools will likely experience rapid market growth, presenting strong tailwinds for defense-tech venture capital and commercial space infrastructure developers.