Unisys and Rafay Systems Partner to Deliver Scalable AI Across Hybrid and Regulated Environments

Rhea-AI Summary

Unisys (NYSE: UIS) partnered with Rafay Systems to help enterprises scale AI across public, private, hybrid, and regulated environments. The collaboration combines Unisys AI and managed cloud services with Rafay’s self-service orchestration platform.

It delivers a unified SaaS AI layer for agents, models, governance, security, compliance, and GPU-intensive workloads.

News Market Reaction – UIS

+1.37%

10 alerts

+1.37% Session close to close

$207.78M Market Cap

0.5x Rel. Volume

In the May 20 session, UIS gained 1.37%, reflecting a mild positive market reaction. Our momentum scanner triggered 10 alerts that day, indicating notable trading interest and price volatility.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement reinforces Unisys’s strategy to embed AI across hybrid and regulated environments ...

Analysis

This announcement reinforces Unisys’s strategy to embed AI across hybrid and regulated environments by pairing its managed services with Rafay’s orchestration platform. Only 36% of enterprises report readiness for large-scale AI workloads, so tooling around governance, security, and token-based pricing could be important. In context of recent AI collaborations and contract wins, investors may watch for concrete revenue contributions, margin effects, and how effectively these capabilities scale with GPU-intensive workloads.

Key Figures

AI readiness: 36%

1 metrics

AI readiness 36% Enterprises reporting readiness to support large-scale AI workloads

Historical Context

5 past events · Latest: May 13 (Positive)

Pattern 5 events

Date	Event	Sentiment	24h Move	Catalyst
May 13	Government framework win	Positive	-4.3%	Selected across all TS4 lots for UK government technology services.
May 7	Cargo partnership	Positive	-6.7%	Expanded Cargo Portal Services via new carrier and last‑mile integration.
May 5	1Q26 earnings	Positive	+15.1%	Revenue growth, margin expansion and guidance reaffirmation for 2026.
Apr 22	AI field services	Positive	+3.3%	Expanded Salesforce collaboration to scale AI-driven on-site support.
Apr 20	Earnings schedule	Neutral	+1.2%	Announced Q1 2026 results date and investor conference participation.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Recent history shows UIS often trading lower on positive contract/partnership wins, while earnings- and AI-focused announcements have tended to see positive price reactions.

Recent Company History

Over the past two months, UIS has reported mixed but improving fundamentals and a series of strategic wins. 1Q26 results on May 5 showed modest revenue growth and margin expansion, driving a 15.14% gain. AI and Salesforce field-service expansion on Apr 22 saw a 3.26% rise. By contrast, positive UK TS4 framework and cargo-partnering announcements on May 13 and May 7 were followed by declines of 4.32% and 6.73%, indicating a tendency to fade contract news. Today’s AI partnership fits the ongoing AI and cloud narrative.

Key Terms

software-as-a-service, hybrid cloud, kubernetes orchestration, graphics processing units (gpus), +1 more

5 terms

software-as-a-service technical

"This software-as-a-service model provides flexibility and consistency..."

Software-as-a-service is software that users access online through a web browser or app while the provider hosts and maintains the program and data, typically for a recurring fee. Investors care because it creates steady, predictable revenue and often high customer retention — like renting a utility rather than buying a machine — which helps forecast cash flow and values a company more consistently over time.

hybrid cloud technical

"across public, private and hybrid environments."

A hybrid cloud is a computing setup that mixes a company’s own servers with rented services from public cloud providers, letting businesses choose where each application and dataset lives. Think of it like keeping valuables in a private safe while also using a nearby storage unit for overflow; this matters to investors because it influences a company’s costs, flexibility, regulatory risk and ability to scale or offer new services, all of which affect profitability and competitive strength.

kubernetes orchestration technical

"including Kubernetes orchestration and cost optimization suite."

Kubernetes orchestration is the automated management of many small software units called containers, coordinating where they run, how they share work, and how they recover from failures. For investors, it signals a company’s ability to scale digital services reliably and cost‑efficiently—like a smart traffic controller that keeps deliveries moving smoothly during rush hour—impacting operational costs, product reliability and growth potential.

graphics processing units (gpus) technical

"support AI and graphics processing units (GPUs) intensive workloads..."

Graphics processing units (GPUs) are specialized computer chips designed to perform many simple calculations at the same time, originally built to render images and video quickly — think of them as a team of painters each working on a small section of a large mural. Investors care because that same parallel-processing power is used for artificial intelligence, data centers, scientific simulations and other high-growth applications, driving strong demand, pricing power and outsized effects on company revenue and margins.

ai token pricing financial

"Rafay's enterprise-grade metering, AI token pricing and all access-control."

AI token pricing is the price set for digital tokens that grant access to or pay for artificial intelligence services, compute time, or data on a platform — think of them like prepaid credits or arcade tokens used to run AI features. For investors it signals how a project plans to make money, how quickly users might adopt the service, and what revenue or regulatory risks exist, so changes in that price can affect a company’s valuation and cash flow expectations.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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The collaboration supports AI adoption with a unified approach to security, compliance, and operational efficiency

BLUE BELL, Pa., May 20, 2026 /PRNewswire/ -- Unisys (NYSE: UIS) has partnered with Rafay Systems, a leader in infrastructure orchestration for AI and cloud-native workloads, to help enterprises manage and scale modern cloud and complex end-to-end AI deployments across public, private and hybrid environments. This collaboration combines Unisys' AI expertise and managed cloud services with Rafay's self-service platform to help organizations operationalize governed AI with greater consistency, security and control.

Enterprises are adopting AI and cloud-native technologies at an accelerated pace while navigating increasing regulatory, security and operational requirements, yet only 36% say they are ready to support large‑scale AI workloads. Through the partnership, Unisys and Rafay are addressing this challenge by delivering a unified intelligent AI software layer – spanning agents, models and modular AI infrastructure. This software-as-a-service model provides flexibility and consistency to organizations managing multiple deployments of AI, regardless of the use case. The partnership also enables Unisys to support AI and graphics processing units (GPUs) intensive workloads across hybrid environments through Rafay's governed, self-service capabilities, embedded seamlessly within broader cloud and application operations. This approach helps organizations integrate AI workloads into existing environments and adopt agentic frameworks, workflows, and capabilities with confidence.

"We are proud of the partnership with Rafay and our shared mission to enable organizations to move beyond proof of concept, making AI-powered innovation scalable, operational and sustainable," said Manju Naglapur, senior vice president and general manager, Cloud, Applications & Infrastructure (CA&I), Unisys. "This unified approach reduces complexity and helps our clients confidently navigate compliance demands amidst innovation while optimizing costs and control across hybrid environments."

Additional benefits of the Unisys and Rafay partnership include:

• Simplified deployment, lifecycle management, and governance to help clients shift AI from experimentation to production within modern application environments.
• Hybrid cloud orchestration for on-premises, edge, and public environments including Kubernetes orchestration and cost optimization suite.
• Greater financial visibility and control with Rafay's enterprise-grade metering, AI token pricing and all access-control. Rafay is an industry contributor in developing standards that allow their customers to rapidly deploy AI stacks equipped for token-metered pricing from day one.
• Support for AI workloads, including private AI, operating within hybrid and regulated environments, including on-premises, edge, and cloud deployments, with integrated security and governance.

"Rafay is proud to support governed AI capabilities delivered across Unisys' Cloud, Applications & Infrastructure portfolio, helping enterprises accelerate secure AI adoption through turnkey, enterprise-ready capabilities and technology," said Haseeb Budhani, chief executive officer and co-founder, Rafay Systems. "Our orchestration technology powers the foundation's ability to deliver GPU and AI services within enterprise environments as easily consumable, governed, and self-service experiences. Together with Unisys, we're enabling organizations to operationalize AI faster—without compromising compliance, efficiency, or control."

Click here to learn more about Cloud, Applications & Infrastructure solutions from Unisys.

About Rafay Systems

Rafay Systems is a leading platform provider for modern infrastructure and AI workloads, delivering Platform-as-a-Service (PaaS) capabilities that enable organizations to operationalize compute infrastructure with self-service automation, governance and multi-tenancy. The Rafay Platform helps enterprises, cloud providers and sovereign AI cloud operators transform raw infrastructure into fully operational platforms for AI, Kubernetes and cloud-native applications. By simplifying infrastructure orchestration and lifecycle management, Rafay enables organizations to accelerate innovation while maintaining security, consistency and operational control. For more information, visit rafay.com.  

About Unisys 

Unisys is a global technology solutions company that powers breakthroughs for the world's leading organizations. Our solutions – cloud, AI, digital workplace, applications and enterprise computing – help our clients challenge the status quo and unlock their full potential. To learn how we have been helping clients push what's possible for more than 150 years, visit unisys.com and follow us on LinkedIn.

RELEASE NO.: 0520/10052

Unisys and other Unisys products and services mentioned herein, as well as their respective logos, are trademarks or registered trademarks of Unisys Corporation. Any other brand or product referenced herein is acknowledged to be a trademark or registered trademark of its respective holder.

UIS-C

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SOURCE Unisys Corporation

FAQ

What did Unisys (NYSE: UIS) announce about its partnership with Rafay Systems on May 20, 2026?

Unisys announced a partnership with Rafay Systems to deliver scalable, governed AI across hybrid and regulated environments. According to Unisys, the collaboration unifies AI orchestration, security, and compliance for modern cloud and AI workloads.

How does the Unisys and Rafay Systems partnership help enterprises scale AI workloads?

The partnership provides a unified AI software layer and SaaS model to manage multi-environment AI deployments. According to Unisys, it spans agents, models, and modular AI infrastructure to improve consistency, control, and operational efficiency.

What AI governance and compliance benefits does the Unisys–Rafay Systems collaboration offer UIS customers?

The collaboration focuses on governed AI with integrated security, compliance, and access control. According to Unisys, it simplifies deployment, lifecycle management, and governance so enterprises can move AI from experimentation to production while meeting regulatory requirements.

How does the Unisys and Rafay Systems deal support hybrid and regulated environments for AI?

The partnership enables orchestration of AI and GPU-intensive workloads across on-premises, edge, and public cloud environments. According to Unisys, it supports private AI in regulated settings with embedded security, governance, and hybrid cloud orchestration.

What cost and financial visibility features are included in the Unisys and Rafay Systems AI offering?

The joint offering includes enterprise-grade metering, AI token pricing, and access control for AI stacks. According to Unisys, Rafay contributes standards and tooling that give organizations greater financial visibility and cost optimization for AI deployments.

How can investors and customers learn more about Unisys Cloud, Applications & Infrastructure AI solutions?

Interested parties can access more information through Unisys Cloud, Applications & Infrastructure solution materials online. According to Unisys, these resources describe how the Rafay-powered orchestration capabilities integrate with its broader cloud and application operations portfolio.