STAR.OS is like a mission-control “operating system for AI” that lets the military or aerospace programs safely plug different AI tools into aircraft, satellites, and command centers without rebuilding everything from scratch each time.
Defense and aerospace programs struggle to integrate many different AI models and data feeds into mission systems in a way that is secure, testable, and reusable across platforms. STAR.OS standardizes how AI is integrated, governed, and deployed across missions and assets.
Tight integration with Lockheed Martin’s mission systems, domain-specific workflows, and access to classified/mission data and programs create a high switching cost and a proprietary integration layer that is difficult for new entrants to replicate.
Hybrid
Vector Search
High (Custom Models/Infra)
Integration complexity and assurance requirements across heterogeneous defense platforms (safety, certification, data classification, and on-edge/onboard compute limits).
Early Adopters
Positions itself not as a single AI model but as a reusable, governed integration framework that can host and coordinate diverse AI/ML capabilities across multiple mission platforms and security domains, tailored to defense and aerospace requirements.