Rackspace Technology partners with Uniphore on Infrastructure-to-Agents service
Rackspace Technology and Uniphore announced a strategic partnership to deliver an Infrastructure-to-Agents architecture as an outcomes-based service aimed at helping enterprises move Artificial Intelligence (AI) from experimentation into production while maintaining governance, security and control.
The companies described an ambition to unlock $100 million in enterprise AI deployments and said the arrangement was relevant for regulated industries where choice, security and sovereignty were requirements. Rackspace said it had more than 20,000 mid-market and enterprise customers spanning healthcare, financial services, insurance and other industries.
The agreement combined Uniphore’s Business AI Cloud with Rackspace private cloud infrastructure and included advanced inferencing capable of running on both NVIDIA and AMD compute architectures, Data Preparation-as-a-Service, fine-tuned Small Language Models (SLMs)-as-a-Service and industry-specific AI agents-as-a-Service. The architecture extended across hybrid and public cloud environments and involved forward deployed engineers trained on the Uniphore platform.
Under the collaboration, Uniphore planned to move select enterprise inferencing workloads to Rackspace’s private cloud to deliver a Sovereign AI offering. The companies described deliverables that included enabling the path from pilot to production to be measured in weeks, accelerating data modernization so enterprise data was structured and ready for AI, providing pre-packaged Security Lifecycle Management (SLM) and agentic workflows, and optimizing Central Processing Unit (CPU) and Graphics Processing Unit (GPU) environments to match workloads to compute.
“For the first time, enterprises in regulated industries do not have to choose between moving fast on AI and maintaining the governance and control their business requires. Rackspace is taking on that accountability,” said Gajen Kandiah, CEO of Rackspace Technology.
The release contained forward-looking statements, including an ambition to unlock $100 million in enterprise AI deployments, and said such statements spoke only as of the date of the release.