Lockheed Martin has introduced STAR.OS, an artificial intelligence (AI) solution designed to help different AI systems work together more efficiently.
The tool provides a shared architecture that links separate AI applications and services toward a common mission goal.
In a recent internal demo, the new platform was tested for its ability to connect multiple AI services in a shared digital environment, showing how it can enable better coordination and data exchange across operational systems.
The company noted that STAR.OS could pave the way for broader collaborations between government and industry partners, addressing one of defense AI’s biggest challenges: integration.
“With the STAR.OS solution, we’re taking a major step forward in our ability to bring together different AI systems and make them work together seamlessly,” said Mike Baylor, Lockheed Martin VP and chief digital AI officer.
“This will help us provide more effective and efficient solutions to our customers and ultimately help them make more informed decisions and stay ahead of emerging threats.”
Early versions of STAR.OS are already in use with the US Department of Defense and other government agencies, supporting applications such as maritime threat detection and missile warning.
Core Elements
The platform is built around three core components that allow organizations to integrate, monitor, and adapt AI tools across complex environments.
STAR.SDK is a development kit offering standardized tools for building and deploying AI services, ensuring new applications can plug in without major system changes.
STAR.IO acts as the communication layer between systems, enabling separate AI applications to share data and operate together across different platforms and networks.
STAR.UI provides a real-time interface that shows how AI systems are performing, letting operators track activity, review data flows, and understand how automated processes support ongoing missions.
