Rackspace & Uniphore target USD $100m regulated AI push

Rackspace Technology has struck a strategic partnership with Uniphore focused on deploying "agentic AI" in regulated industries via a packaged private cloud and software stack, with an ambition to reach USD $100 million in enterprise implementations.

The arrangement combines Rackspace's private cloud infrastructure and delivery teams with Uniphore's Business AI Cloud platform. The companies are positioning the joint offer as an outcomes-based service for organisations that have struggled to move AI projects beyond pilots.

The partnership targets sectors with strict requirements for data handling and operational oversight, including healthcare, financial services and insurance. Rackspace serves more than 20,000 mid-market and enterprise customers across multiple industries.

Infrastructure And Agents

The companies described the approach as an "Infrastructure-to-Agents architecture", combining hosted compute, data preparation services, model options and pre-built AI agents in a governed environment.

Rackspace's private cloud provides the underlying infrastructure, while Uniphore adds a software layer spanning inferencing, data, knowledge, models and agents.

The stack includes Data Preparation-as-a-Service, fine-tuned Small Language Models-as-a-Service, and industry-specific AI Agents-as-a-Service. The compute layer is designed to work across both NVIDIA and AMD architectures.

The architecture can also extend across hybrid and public cloud environments, including organisations that run some systems on-premise and others in external cloud services.

Regulated Industry Focus

A key element of the partnership is "sovereign" deployment, referring to data residency and control requirements. The companies say the design maintains governance and security as deployments scale.

As part of what they describe as a Sovereign AI offering, Uniphore will move select enterprise inferencing workloads to Rackspace's private cloud. The aim is to place some processing inside Rackspace-managed environments rather than other hosting set-ups.

The partnership also reflects a broader enterprise AI challenge: pressure to show business value while meeting internal risk and compliance standards. Many large organisations have tested generative AI tools in limited settings but have been slower to deploy production systems.

Delivery Model

Rackspace plans to use forward-deployed engineers who work directly inside customer environments. Trained on Uniphore's platform, they will be responsible for delivering measurable outcomes from the start of a project.

The model mirrors a services-led approach gaining traction in the AI market, combining software, infrastructure and hands-on operational support rather than a software-only sale.

Rackspace has also been expanding its partner strategy for AI deployments. It recently announced a partnership with Palantir, and frames the Uniphore agreement as part of a broader approach spanning data, inference and AI agents through partner software and delivery teams.

"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, Rackspace Technology.

Kandiah added: "We are not just providing infrastructure, we are committing to outcomes, and that changes the nature of the relationship between a technology partner and an enterprise customer."

Uniphore pitches its platform as a way to deploy AI into business workflows with controls suited to enterprise environments, with an open architecture that supports sovereign requirements.

"Business AI Cloud adoption is seeing exponential growth globally due to its sovereign and open architecture and what enterprises are telling us is that they need business outcomes. Rackspace's adoption of Uniphore's Business AI Cloud allows our customers to access all five layers of our offering spanning Inferencing, Data, Knowledge, Model, and Agents, on Rackspace's secure and governed enterprise AI private cloud. For customers looking for sovereign AI solutions, this is a game changer," said Umesh Sachdev, CEO and Co-founder, Uniphore.

Market Reaction

Industry observers said the partnership reflects growing demand for packaged AI deployment models that address governance and compliance alongside faster implementation.

"This Rackspace-Uniphore deal packs real punch for organizations struggling to get beyond AI pilot mode", said David Cushman, Executive Research Leader, 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."

Valley Medical Centre's Chief Information Officer also commented on the partnership in the context of healthcare compliance and complex data environments.

"While the drive to scale AI across enterprise systems is high, many organizations find their progress stalled by the dual challenges of technical complexity and regulatory compliance," said Brian Jones, Chief Information Officer, Valley Medical Centre. "It is a significant milestone to see Rackspace and Uniphore join forces. This partnership can be a game changer for organizations in highly regulated sectors, providing a robust framework to scale AI and extract tangible value from complex data landscapes."

Rackspace and Uniphore said their combined offer covers the path from infrastructure selection to data preparation and deployment of AI agents, supporting both CPU and GPU environments without committing customers to a single compute architecture.