List of Oracle OCI AI Infrastructure Customers
Oracle
2300 Oracle Way,
Austin, 78741, TX,
United States
Austin, 78741, TX,
United States
1 737-867-1000
Professional Services
162000
$67.1B
Since 2010, our global team of researchers has been studying Oracle OCI AI Infrastructure 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 Oracle OCI AI Infrastructure 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 Oracle OCI AI Infrastructure for AI infrastructure include: Meta, a United States based Media organisation with 75945 employees and revenues of $164.50 billion, Bechtel Corporation, a United States based Construction and Real Estate organisation with 55000 employees and revenues of $22.00 billion, AtkinsRealis, a Canada based Construction and Real Estate organisation with 37246 employees and revenues of $8.63 billion, Palantir Technologies, a United States based Professional Services organisation with 4429 employees and revenues of $4.48 billion, GetGo, a United States based Retail organisation with 3500 employees and revenues of $1.48 billion and many others.
Contact us if you need a completed and verified list of companies using Oracle OCI AI Infrastructure, 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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AtkinsRealis | Construction and Real Estate | 37246 | $8.6B | Canada | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2024 | n/a |
In 2024, AtkinsRealis implemented Oracle OCI AI Infrastructure as a foundational component of its OneERP consolidation of Oracle E-Business Suite on OCI. The Oracle OCI AI Infrastructure deployment was positioned to provide scalable, co-located AI compute and model hosting adjacent to the consolidated ERP estate to support analytics and intelligent automation use cases across the organization.
Oracle OCI AI Infrastructure was configured to deliver category core capabilities typical of AI infrastructure, including accelerated model training, inference serving, persistent model repositories, and data orchestration pipelines. The implementation emphasized platform services for secure model lifecycle management, role based access controls, and integration points for enterprise data feeds and analytics workflows aligned with Oracle E-Business Suite data structures.
Operational scope is anchored to the OneERP program and the consolidated Oracle E-Business Suite instances, extending support to finance, project delivery, procurement, and asset management teams across AtkinsRealis global operations. Governance and process standardization were introduced through the OneERP program to centralize provisioning, enforce data governance, and formalize model deployment workflows across business functions.
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Autopoiesis Sciences | Life Sciences | 10 | $1M | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2025 | n/a |
In 2025 Autopoiesis Sciences deployed Oracle OCI AI Infrastructure to provide a scalable cloud foundation for its scientific AI model development, addressing explicit scalability and networking requirements. The implementation centers on Oracle OCI AI Infrastructure within the AI infrastructure category, positioned to support advanced reasoning models used by research organizations worldwide.
The technical configuration emphasizes elastic GPU compute provisioning and managed model training pipelines, standard components of AI infrastructure that Autopoiesis used to shorten development cycles and enhance model performance. The environment includes centralized model lifecycle capabilities such as model build orchestration, data persistence for large training sets, and automated job scheduling to stabilize iterative experiments.
Operational coverage extends across Autopoiesis research functions and external research collaborators, with the cloud architecture designed to meet high-throughput networking needs and to provide consistent runtime environments for reproducible experiments. Networking and tenancy configuration were prioritized to segregate research workloads and maintain predictable performance for distributed training and inference workloads.
Governance and rollout emphasized a consolidated development platform and standardized pipeline templates to reduce variability in model training and deployment. The company reported that Oracle OCI AI Infrastructure shortened development cycles, enhanced model performance, and increased system stability for use by research organizations worldwide.
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Bechtel Corporation | Construction and Real Estate | 55000 | $22.0B | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2020 | n/a |
In 2020, Bechtel Corporation implemented Oracle OCI AI Infrastructure as part of a broader modernization of its data and application platform. The deployment of Oracle OCI AI Infrastructure sits alongside an extensive Oracle portfolio that includes Oracle EBS, Oracle Transportation, Oracle Agile, Oracle Unifier, Oracle SOA, Oracle OIC, Oracle Enterprise Data Quality, Oracle Global Risk and Compliance, Oracle Hyperion and multiple custom Oracle databases, and also coexists with SQL Server and Azure SQL Server workloads.
The technical architecture integrates Oracle OCI AI Infrastructure with existing on-prem Oracle Exadata and VMware Linux hosts, and the current program includes migration of Oracle workloads to Oracle OCI IaaS with ExaCS. Infrastructure provisioning and lifecycle automation are managed through Terraform and Ansible, which are used to provision compute and orchestration artifacts for the Oracle OCI AI Infrastructure environment and associated ExaCS instances.
Functional capabilities implemented around Oracle OCI AI Infrastructure support reporting and analytics through Oracle Enterprise Command Center, code migration workflows driven by STAT, transactional integrations for Oracle EBS including Vertex, robotics automation databases for UIPath, and identity management with a custom SSO hook implemented for Oracle EBS using PING Identity. The AI infrastructure is positioned to work with enterprise data quality and risk modules to enable data processing and automation use cases consistent with AI infrastructure requirements.
Operational governance is organized around a distributed database administration team in the United States and India, with a Manager Database Administration responsible for project planning, delivery requirements, deadlines, and DBA performance appraisal. Governance practices emphasize infrastructure as code, curated provisioning, and integrated identity controls, supporting business functions that include supply chain, finance, reporting, automation and risk management under the Oracle OCI AI Infrastructure implementation.
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CalmWave | Professional Services | 45 | $5M | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2024 | n/a |
In 2024 CalmWave deployed Oracle OCI AI Infrastructure to power its Quiet ICU platform, using Oracle Autonomous Data Warehouse as the analytic backbone. CalmWave was founded in 2022 and the deployment targets critical care hospital operations where clinicians receive decision support to reduce alarm burden, aligning with the AI infrastructure category.
The implementation on Oracle OCI AI Infrastructure centralizes real time ingestion, model training, and inference workflows. CalmWave configured a streaming ingestion pipeline for ICU vital sign signals and alarm events, and implemented a recommendation engine that generates clinician facing suggestions to update alarm limits. Oracle Autonomous Data Warehouse is used to persist large volumes of time series clinical data and support iterative model development and analytics.
Operationally the deployment is cloud native on Oracle Cloud Infrastructure and integrates directly with ICU monitoring device feeds and alarm streams to collect telemetry and event data. The platform scope is focused on critical care units and clinician workflows, and the system design emphasizes low latency inference for bedside recommendations and secure storage of clinical telemetry in the Autonomous Data Warehouse.
Governance and workflow changes center on clinician review and safe recommendation controls, where system outputs are surfaced as suggested alarm limit updates rather than automated changes. The initial rollout prioritized remediating alarm fatigue by ingesting alarms and vital signs and providing safe recommendations, and the same AI infrastructure and data architecture are being used to accelerate further innovation in hospital critical care operations.
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Cohere | Professional Services | 450 | $170M | Canada | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2024 | n/a |
In 2024, Cohere implemented Oracle OCI AI Infrastructure as its primary AI infrastructure to enable enterprise customers to embed generative AI capabilities securely and at scale. The deployment positions Oracle OCI AI Infrastructure to support Cohere model hosting and production inference workflows across product engineering and customer integration functions.
The implementation emphasizes high performance compute and model serving capabilities, combined with tooling for model lifecycle operations. Cohere leverages Oracle OCI AI Infrastructure for model runtime orchestration, batch and real time inference, and capacity for large model serving, while using Oracle Database functionality to index outputs and surface an intuitive search and model understanding layer.
Operationally the rollout integrated Cohere model runtimes with Oracle Cloud compute, storage, and database services to provide a unified infrastructure surface for enterprise embedding of generative features. The scope is oriented toward customer deployments and developer workflows that embed Cohere models into business applications, with the infrastructure designed to support secure access, model observability, and production scaling.
Governance and security are framed around secure embedding and controlled access to model inferencing, with process changes to support model indexing and search driven by the database integration. Oracle positioned OCI as providing extensive supercomputing and database capabilities, noting the database dramatically improves accuracy and provides an intuitive way to search and understand models, which Cohere cited as central to the implementation.
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Professional Services | 40 | $5M | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2024 | n/a |
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Professional Services | 290 | $32M | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2024 | n/a |
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Professional Services | 40 | $4M | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2024 | n/a |
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Professional Services | 30 | $2M | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2024 | n/a |
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Retail | 3500 | $1.5B | United States | Oracle | Oracle OCI AI Infrastructure | AI infrastructure | 2025 | n/a |
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Showing 1 to 10 of 18 entries
Buyer Intent: Companies Evaluating Oracle OCI AI Infrastructure
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Oracle OCI AI Infrastructure. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Oracle OCI AI Infrastructure for AI infrastructure include:
- City of South Bend, Indiana, a United States based Government organization with 1000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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City of South Bend, Indiana | Government | 1000 | $368M | United States | 2025-04-24 |
FAQ - APPS RUN THE WORLD Oracle OCI AI Infrastructure Coverage
Oracle OCI AI Infrastructure is a AI infrastructure solution from Oracle.
Companies worldwide use Oracle OCI AI Infrastructure, from small firms to large enterprises across 21+ industries.
Organizations such as Meta, Bechtel Corporation, AtkinsRealis, Palantir Technologies and GetGo are recorded users of
Oracle OCI AI Infrastructure for AI infrastructure.
Companies using Oracle OCI AI Infrastructure are most concentrated in Media, Construction and Real Estate and Professional Services, with adoption spanning over 21 industries.
Companies using Oracle OCI AI Infrastructure are most concentrated in United States and Canada, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Oracle OCI AI Infrastructure across Americas, EMEA, and APAC.
Companies using Oracle OCI AI Infrastructure range from small businesses with 0-100 employees - 50%, to mid-sized firms with 101-1,000 employees - 16.67%, large organizations with 1,001-10,000 employees - 16.67%, and global enterprises with 10,000+ employees - 16.67%.
Customers of Oracle OCI AI Infrastructure include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Oracle OCI AI Infrastructure customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI infrastructure.