In a rapidly evolving tech landscape, where efficiency and cost-effectiveness are paramount, Exostellar emerges as a trailblazer in the realm of cloud optimization. Founded by two Cornell University professors and their postgraduate student, the company has grown from an academic curiosity into a critical player in the tech industry, spearheaded by CEO Tony Shakib.
Exostellar’s mission is straightforward yet ambitious: to redefine how enterprises leverage cloud infrastructure through innovative AI-driven solutions. The company’s proprietary technology, rooted in deep academic research, enables nested virtualizations and live migration of workloads—processes that allow for seamless transitions of data between on-premises and cloud environments without interruption. This is akin to changing the engine of an airplane mid-flight, a feat that underscores the robustness and ingenuity of their technology.
Central to Exostellar’s offering is their AI prediction engine, which continuously learns and classifies cloud instances to identify the most cost-effective and reliable environments for running workloads. This dynamic approach not only optimizes performance but also significantly reduces costs, addressing one of the primary concerns of enterprises hesitant to fully transition to the cloud.
