Rackspace, Uniphore Partner on Enterprise AI Infrastructure

Rackspace Technology and Uniphore announced a partnership to launch a new enterprise AI infrastructure platform designed to help organizations move artificial intelligence projects from pilot programs into production at scale.

Rackspace and Uniphore bring private cloud and AI capabilities together in a full-stack solution

The partnership combines Rackspace’s private cloud infrastructure with Uniphore’s Business AI Cloud platform to provide enterprises with a governed, full-stack AI environment that accelerates the shift from AI experimentation to production deployments.

Executives from both companies say the initiative targets highly regulated sectors, including healthcare, financial services, and insurance, where organizations must balance AI innovation with strict governance, security, and sovereignty requirements.

Partnership targets enterprise AI deployments at scale

Rackspace and Uniphore said the partnership aims to unlock more than $100 million in enterprise AI deployments as organizations increasingly move beyond pilot projects toward production-scale AI systems.

Operationalizing AI remains difficult for many enterprises due to the complex choices involved in infrastructure, models, and data pipelines. 

The joint offering is designed to simplify those decisions by delivering a unified stack spanning infrastructure, models, and AI agents.

The solution integrates Uniphore’s Business AI Cloud platform with Rackspace’s private cloud infrastructure to create a secure, governed AI environment that includes advanced inferencing, data preparation services, fine-tuned small language models (SLMs), and industry-specific AI agents.

“Enterprises in regulated industries no longer have to choose between moving fast on AI and maintaining the governance and control their business requires,” said Gajen Kandiah, CEO of Rackspace Technology. “We are not just providing infrastructure—we are committing to outcomes.”

Private cloud AI platform built for governance and sovereignty

The architecture supports both NVIDIA and AMD compute environments, allowing organizations to run AI workloads across CPUs and GPUs depending on performance and cost requirements.

Rackspace will also deploy forward-deployed engineers directly within customer environments to help operationalize the platform. 

Those engineers will be trained on the Uniphore platform and tasked with helping enterprises move AI workloads into production while delivering measurable outcomes.

According to the companies, this approach is designed to create a governed operating model that combines infrastructure management with AI platform expertise.

Uniphore CEO and founder Umesh Sachdev said enterprise demand for sovereign AI architectures is growing rapidly.

“Business AI Cloud adoption is seeing exponential growth globally due to its sovereign and open architecture,” Sachdev said. “Rackspace’s adoption of our platform allows customers to access all five layers of our offering—from inferencing and data to models and agents—on a secure enterprise AI private cloud.”

Organizations focus on moving enterprises from AI pilots to production

The companies said the offering is designed to address several common challenges that prevent AI initiatives from moving beyond pilot stages.

For many organizations, enterprise data remains fragmented or unstructured, limiting its usability for AI models. Uniphore’s data agents are intended to help enterprises prepare and structure their data for AI workloads without requiring multi-year modernization projects.

The partnership also introduces pre-packaged, industry-specific AI solutions built on small language models and agent-based workflows, giving enterprise teams faster paths to automation and AI adoption.

“This Rackspace–Uniphore deal packs a real punch for organizations struggling to get beyond AI pilot mode, said David Cushman, executive research leader at HFS Research. 

“It couples Uniphore’s ‘get-you-going-fast’ AI platform with a Forward Deployed Engineer (FDE)-style delivery model and governed private cloud, that gets you to value fast, but with control. That’s something most mid-market organizations simply don’t have and will be particularly welcome in regulated industries,” Cushman’s statement continued.

Additionally, Rackspace will optimize compute workloads across CPU and GPU environments, allowing enterprises to avoid over-provisioning infrastructure or locking into a single hardware architecture.

Rackspace serves more than 20,000 enterprise and midmarket customers globally, including organizations in healthcare, finance, and insurance. 

As part of the partnership, Uniphore will also move select enterprise inferencing workloads to Rackspace’s private cloud to support sovereign AI deployments.