List of Rackspace Private Cloud AI Customers
San Antonio, 78258-7667, TX,
United States
Since 2010, our global team of researchers has been studying Rackspace Private Cloud AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Rackspace Private Cloud AI for AI infrastructure from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Rackspace Private Cloud AI for AI infrastructure include: Seattle Childrens, a United States based Healthcare organisation with 10261 employees and revenues of $4.19 billion, J.Crew, a United States based Retail organisation with 12500 employees and revenues of $3.00 billion, Convera Corporation, a United States based Retail organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Rackspace Private Cloud AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Convera Corporation | Retail | 10 | $1M | United States | Rackspace Technology | Rackspace Private Cloud AI | AI infrastructure | 2023 | n/a |
In 2023 Convera Corporation implemented Rackspace Private Cloud AI as its AI infrastructure to support automation in global customer service. Convera worked with Rackspace Foundry for AI FAIR to deploy a generative-AI email classification and case-creation solution, using FAIR on AWS Bedrock for model services, and reduced 130 mailboxes to three while achieving 100% automated case creation and roughly 82% classification accuracy.
The deployment combined email ingestion, generative classification, and automated case creation capabilities, with Rackspace Foundry for AI providing model orchestration and AWS Bedrock handling inference and model access. Operational scope centered on global customer service mailbox consolidation and automated ticketing workflows, with implementation focused on centralizing routing and instrumenting automated case creation across the customer service function. Governance and rollout emphasized persistent classification models and automated case-creation workflows, enabling a single platform for email-to-case processing while retaining model inference on FAIR via AWS Bedrock.
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J.Crew | Retail | 12500 | $3.0B | United States | Rackspace Technology | Rackspace Private Cloud AI | AI infrastructure | 2024 | n/a |
In 2024, J.Crew implemented Rackspace Private Cloud AI in an AI infrastructure deployment to operationalize three enterprise AI agents, targeting internal support and customer engagement workflows. The initiative was led with Rackspace Technology resources and focused on accelerating AI adoption across J.Crew's United States operations.
The implementation realized three functional agents for IT help desk, vendor and supply chain support, and the contact center, with Rackspace Private Cloud AI hosting model serving, orchestration, and conversational workflow capabilities. Rackspace Private Cloud AI implementations leveraged Rackspace Foundry for AI tooling in development and model management, and published case materials document use of Foundry on public-cloud platforms including AWS and Vertex AI for training and runtime activities.
Public materials describe integrations that connected model training and MLOps pipelines to AWS services and Vertex AI, while operational coverage was scoped to IT support teams, procurement and vendor operations, and customer care centers across J.Crew's US sites. The architecture emphasized agent orchestration, conversational flow management, and automated support routing, with Rackspace Technology providing infrastructure and platform services to support those capabilities.
Governance and rollout workstreams addressed conversational workflow configuration, staged agent deployment, and internal enablement for support staff, aligning platform operations with business functions in IT, supply chain, and contact center. Outcomes reported in Rackspace's case materials include reduced support workload and accelerated internal AI adoption across J.Crew's operational teams.
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Seattle Childrens | Healthcare | 10261 | $4.2B | United States | Rackspace Technology | Rackspace Private Cloud AI | AI infrastructure | 2025 | n/a |
In 2025, Seattle Childrens partnered with Rackspace Technology to host and manage its Epic EMR on Rackspace Healthcare Cloud private cloud, improving clinical data availability and achieving 99.999% uptime in the United States. Seattle Childrens is inferred to have implemented Rackspace Private Cloud AI, classified as AI infrastructure, to extend private-cloud capabilities into clinical analytics and model hosting for healthcare workflows.
Rackspace Private Cloud AI is positioned in this engagement to provide core AI infrastructure capabilities, including private-cloud compute for model training and inference, secure model hosting, and orchestration aligned with clinical data governance. The narrative restates Rackspace Private Cloud AI as the application providing those AI infrastructure capabilities to support analytics and operational tooling alongside the EMR.
The implementation is integrated with Epic EMR hosting on Rackspace Healthcare Cloud private cloud, with Rackspace Technology providing managed services for hosting and operational support. Operational coverage is described within the United States and is focused on clinical data availability and EMR-driven analytics, linking the AI infrastructure to patient care and reporting workflows.
Governance for the engagement is articulated as Rackspace-managed hosting and support for the Epic environment, with operational controls and support processes managed by Rackspace Technology. The published case explicitly reports improved clinical data availability and achievement of 99.999% uptime as documented outcomes.
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