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Haseeb Budhani co-founded Rafay Systems in October 2017 and serves as CEO. He holds a B.S. in computer science from the University of Southern California and an MBA from UC Berkeley's Haas School of Business. Earlier he co-founded and led Soha Systems, an enterprise secure-access company acquired by Akamai Technologies in October 2016, after which he spent about a year at Akamai as VP of Enterprise Strategy. He started Rafay to build a platform for Kubernetes operations and cloud-native application management, raising a $25M Series B in 2021.
Hanumantha Kavuluru co-founded Rafay Systems with Haseeb Budhani in 2017, leading engineering as VP (later SVP) of Engineering. He studied electronics and communication engineering at Osmania University. Before Rafay, he worked alongside Budhani at Soha Systems as co-founder and VP of Engineering, the enterprise secure-access startup acquired by Akamai in 2016. At Rafay he leads the engineering organization building the company's Kubernetes operations and cloud-native management platform.
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Rafay's enterprise platform-as-a-service automates the lifecycle of Kubernetes clusters across data centers and all major public clouds. It provides centralized provisioning, fleet management, zero-trust access, policy enforcement, GitOps pipelines, and cost visibility, letting platform teams deliver a standardized self-service experience to developers. The platform abstracts the operational complexity of running many clusters at scale, helping enterprises maximize the value of their containerized applications while maintaining security and governance across heterogeneous infrastructure.
Rafay's GPU platform-as-a-service capabilities, introduced in 2024, let enterprises and GPU cloud providers deliver self-service access to accelerated computing for AI and machine-learning workloads. It supports multi-tenant GPU provisioning, scheduling, and monetization across data centers and public clouds, helping providers turn significant investments in GPU infrastructure into a consumable PaaS offering. For enterprises, it underpins private AI clouds by giving data-science and platform teams governed, on-demand access to GPU resources.
1 patent on file, but none with both an extractable figure and an abstract on Google Patents yet.
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