Citrix has completed the acquisition of Numecent, the company behind two complementary products: Cloudpaging®, a patented technology that packages Windows applications into isolated application containers independent of the underlying operating system, and Cloudpager®, a cloud management console that provisions, updates, rolls back, removes and meters applications across physical and virtual Windows endpoints.
The acquisition expands Citrix® DaaS capabilities for cloud-based application delivery across Windows environments, helping reduce the complexity and cost of traditional app packaging and image management. Unlike solutions tied to virtual desktops, Numecent's technology extends application delivery across physical and virtual Windows environments, helping organizations simplify application management at enterprise scale.
Cloudpaging packages Windows applications into isolated containers and streams them to Windows endpoints on demand, without traditional installation or changes to the base image. Applications behave as if natively installed. Cloudpager provides cloud-based management to assign applications to users and devices, push updates, roll back releases, recall licenses and meter usage across Windows endpoints from one console.
This acquisition builds upon the two companies’ work to integrate the Cloudpager with Citrix DaaS, following an integration launched in April enabling administrators to natively publish and manage Cloudpaging application containers through familiar Citrix workflows.
With the acquisition, Citrix customers will benefit from:
- Lower desktop-management costs: Separating applications from the image can reduce the size and number of images IT maintains and shorten application update cycles.
- Rapid application recovery: After ransomware or a site failure, IT can rebuild a clean environment and quickly repopulate applications from the cloud, cutting Recovery Time Objectives and the revenue loss and regulatory exposure of an extended outage.
- Reduced application conflicts: Legacy and modern applications can run side by side, reducing application conflicts and associated troubleshooting.
- Less application repackaging: A single container can provide greater application compatibility across operating system versions and physical and virtual Windows environments, reducing the need for repackaging.
- Lower administrative overhead and greater control and visibility into software usage: IT can manage applications across virtual and physical Windows environments from one console and meter software usage and recall unused licenses.
- Enable DevOps automation workflows: IT and DevOps teams can leverage containerization to help automate application packaging and control deployment to improve speed and consistency, reduce manual steps and support a more secure environment.
“Enterprise customers have told us for years that application management is one of the most painful parts of running a Windows environment," said Shawn Bass, senior vice president and general manager of Citrix DaaS. "Numecent has solved this in a genuinely elegant way. By bringing Cloudpaging and Cloudpager into Citrix, we can make this capability native to every DaaS and physical desktop deployment so IT teams get back the time they spend wrestling with images and app conflicts.”
“Joining Citrix accelerates everything we set out to do," said Arthur Hitomi, CEO of Numecent. "Our Cloudpaging technology was built for exactly the kind of complex, high-scale environments Citrix serves. Together, we can bring app-centric resilience to enterprise desktops worldwide.”
Citrix plans to further integrate Cloudpaging and Cloudpager into the Citrix platform while continuing support for physical Windows desktops and laptops outside Citrix DaaS environments. This will give customers a consistent application delivery model across virtual and physical Windows environments. Existing Numecent customers will continue to receive support throughout the transition.
The Latest
Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...
AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...
Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...
Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...
Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...
In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ...
Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...
Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...
This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...
There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...