Exotanium, now rebranded as Exostellar, is a cloud resource optimization and management platform that leverages artificial intelligence and machine learning to help enterprises significantly reduce cloud computing costs—by up to 90%—while enhancing operational security and performance. Developed from technology at Cornell University, Exostellar enables organizations to maximize their cloud resource utilization without service interruptions, even for stateful applications. Key Features and Functionality: - Cost Reduction: Achieves up to 90% savings on cloud expenses by optimizing resource allocation and utilizing discounted server space. - Seamless Migration: Allows live migration of applications across different cloud environments without service disruption, ensuring continuous operation. - Broad Compatibility: Supports legacy applications without modifications and is compatible with major cloud providers, including AWS, Google Cloud, Azure, and VMware. - Container Support: Works effectively with Kubernetes and cloud-native application containers, facilitating efficient resource management. Primary Value and Problem Solved: Exostellar addresses the challenge of escalating cloud computing costs, which can consume a significant portion of an enterprise's revenue. By optimizing cloud resource usage and enabling seamless migration to cost-effective server options, Exostellar empowers organizations to enhance performance and security while achieving substantial cost savings. This solution is particularly beneficial for enterprises seeking to maximize their cloud investments without compromising service quality or operational continuity.