October 8, 2026
Eminence Grey and Lumen Technologies (Nasdaq ticker: LUMN) today announced a partnership to provide sovereign AI infrastructure for government agencies, enterprises, and AI innovators. As AI moves from the experimental phase to production deployment, organizations are increasingly facing a new challenge: how to deploy AI on sensitive and critical mission data without compromising security, performance, or operational control.
This collaboration combines the sovereign AI platform of Eminence Grey with Lumen's physical infrastructure and programmable networks from edge to cloud. Both companies stated that this will establish a secure foundation for a distributed AI environment across the United States. Together, they will provide the necessary infrastructure to connect AI workloads, data, and applications between multiple locations, while maintaining performance, resilience, and operational continuity.
As the AI system increasingly interacts with sensitive data and critical mission operations, organizations need to have auditable control over where information is stored, how it flows, and who has access to it. The sovereign AI environment is designed to help meet these requirements while maintaining security, compliance, and operational control. For government agencies, this model provides a path to adopt AI without having to migrate sensitive workloads to environments that they cannot control, and it also supports critical mission use cases through sovereign computing power and private, programmable connections.
Eminence Grey indicates that its platform combines sovereign AI infrastructure, orchestration, and security capabilities; the programmable networks and physical infrastructure of Lumen can provide secure connections to link distributed AI infrastructure across the United States. Both parties stated that this platform is designed to offer dedicated infrastructure, verifiable isolation, and zero internet exposure throughout the entire data lifecycle.
This article is based on a company press release.












