AI Buyer Insights:

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

List of Oracle OCI AI Infrastructure Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
Professional Services 45 $5M United States Oracle Oracle OCI AI Infrastructure AI infrastructure 2024 n/a
Professional Services 450 $35M Canada Oracle Oracle OCI AI Infrastructure AI infrastructure 2024 n/a
Professional Services 40 $5M United States Oracle Oracle OCI AI Infrastructure AI infrastructure 2024 n/a
Professional Services 290 $32M United States Oracle Oracle OCI AI Infrastructure AI infrastructure 2024 n/a
Professional Services 40 $4M United States Oracle Oracle OCI AI Infrastructure AI infrastructure 2024 n/a
Professional Services 30 $2M United States Oracle Oracle OCI AI Infrastructure AI infrastructure 2024 n/a
Retail 3500 $1.5B United States Oracle Oracle OCI AI Infrastructure AI infrastructure 2025 n/a
Showing 1 to 10 of 17 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:

  1. City of South Bend, Indiana, a United States based Government organization with 1000 Employees

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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 - 52.94%, to mid-sized firms with 101-1,000 employees - 11.76%, large organizations with 1,001-10,000 employees - 17.65%, and global enterprises with 10,000+ employees - 17.65%.

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.