List of Oracle OCI AI Language Customers
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Since 2010, our global team of researchers has been studying Oracle OCI AI Language 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 Language for Natural Language Processing 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 Language for Natural Language Processing include: Aon, a United Kingdom based Professional Services organisation with 60000 employees and revenues of $15.70 billion, Now Optics, a United States based Retail organisation with 1700 employees and revenues of $553.0 million, Seekr, a United States based Professional Services organisation with 150 employees and revenues of $38.0 million and many others.
Contact us if you need a completed and verified list of companies using Oracle OCI AI Language, 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.
The Oracle OCI AI Language customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Aon | Professional Services | 60000 | $15.7B | United Kingdom | Oracle | Oracle OCI AI Language | Natural Language Processing | 2023 | Oracle |
In 2023, Aon deployed Oracle OCI AI Language as a Natural Language Processing solution focused on customer-experience and CRM use cases. The implementation ingested thousands of customer feedback forms and converted unstructured text into structured sentiment and entity tables for analytics consumption.
Oracle OCI AI Language was embedded in an OCI AI pipeline to perform sentiment analysis and named entity extraction at scale, automating classification, normalization, and table generation for downstream reporting. The configuration emphasized Natural Language Processing capabilities to transform free text into discrete data artifacts suitable for visualization and operational review.
Extracted sentiment and entity tables were integrated with Oracle Analytics to produce visual dashboards, creating a direct flow from raw feedback to decision-ready reports. The deployment had global operational coverage, with Aon headquartered in the United Kingdom and customer-experience teams worldwide receiving the outputs. Oracle served as the implementation partner and delivered the proof of concept to production in approximately 25 days.
Governance included standardized pipeline outputs and reporting schemas to ensure consistency of sentiment and entity tables across regions, enabling CRM, customer service, and product teams to consume the same data model. The project produced actionable sentiment dashboards to improve service and product decisions, aligning analytics outputs with operational decision workflows.
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Now Optics | Retail | 1700 | $553M | United States | Oracle | Oracle OCI AI Language | Natural Language Processing | 2021 | n/a |
In 2021, Now Optics implemented Oracle OCI AI Language to process historical and ongoing customer reviews, using Natural Language Processing to convert unstructured feedback into structured insight for retail and customer experience workflows in the United States. The initiative focused on extracting actionable customer signals to inform merchandising and operations priorities.
Oracle OCI AI Language was configured to perform aspect extraction, sentiment analysis, and named entity recognition, with outputs normalized into structured datasets for reporting and downstream consumption. The implementation used category-aligned capabilities for text parsing, aspect-level sentiment scoring, and entity normalization to transform review text into tabular insights.
Processed outputs were integrated with Tableau for visualization, enabling retail and operations teams to prioritize corrective actions and product or service changes. Governance emphasized consolidation of content sources and dashboard-driven review cycles to operationalize feedback across customer experience, merchandising, and operations functions, and the project delivered improved decision-making and cost savings as reported.
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Seekr | Professional Services | 150 | $38M | United States | Oracle | Oracle OCI AI Language | Natural Language Processing | 2025 | n/a |
In 2025, Seekr implemented Oracle OCI AI Language as part of an Oracle Cloud Infrastructure AI infrastructure engagement to support large-scale LLM training and deployment for AI/ML model training in the United States. The Oracle OCI AI Language deployment is explicitly tied to Seekr’s Natural Language Processing work on vision-language models and AI agents, and it is positioned to accelerate development of those models and agent workflows.
The implementation includes core capabilities typical for Natural Language Processing at scale, including distributed model training orchestration, multimodal dataset ingestion and preprocessing, fine tuning and evaluation pipelines for vision-language models, and hosted inference endpoints for agent runtimes. Seekr’s use of Oracle OCI AI Language covers both model development and production NLP tasks, with configuration focused on scalable compute for large language models and production-grade inference serving.
Operational coverage is centered in the United States as documented in the announcement, and the deployment is organized to support Seekr’s AI research and product engineering teams developing vision-language features and AI agents. The environment leverages Oracle Cloud Infrastructure AI services for compute orchestration, model hosting and data persistence, and it surfaces OCI Language capabilities for production NLP and agent interaction workloads.
Governance and rollout emphasize MLOps practices and model governance to move models from training to production, including automated training pipelines, continuous model evaluation, and controlled release of agent capabilities across internal teams. The engagement is described in public materials as an OCI AI infrastructure win for AI/ML training, and Seekr’s adoption of Oracle OCI AI Language aligns operational tooling with its stated objective to accelerate development of vision-language models and AI agents.
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