List of Oracle OCI Vision AI Customers
Oracle
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$57.4B
Since 2010, our global team of researchers has been studying Oracle OCI Vision 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 Oracle OCI Vision AI for Image Recognition 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 Vision AI for Image Recognition include: Integrada Cooperativa Agroindustrial, a Brazil based Consumer Packaged Goods organisation with 2000 employees and revenues of $1.47 billion, Bitron Italy, a Italy based Manufacturing organisation with 8187 employees and revenues of $1.39 billion, Now Optics, a United States based Retail organisation with 1700 employees and revenues of $553.0 million, Children's Medical Research Institute Australia, a Australia based Life Sciences organisation with 200 employees and revenues of $25.0 million and many others.
Contact us if you need a completed and verified list of companies using Oracle OCI Vision 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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Bitron Italy | Manufacturing | 8187 | $1.4B | Italy | Oracle | Oracle OCI Vision AI | Image Recognition | 2025 | n/a |
In 2025, Bitron Italy implemented Oracle OCI Vision AI to automate warehouse inventory management and electronic component recognition across its Italian operations. The deployment targeted Image Recognition workloads to automate label recognition and convert visual inputs into structured inventory data for supply chain visibility.
The implementation configured Oracle OCI Vision AI image ingestion and classification workflows to automate label recognition and electronic component identification, using OCR-driven capture and model-based classification to produce validated inventory records. Functional capabilities included automated label parsing, component classification, and orchestration of image-to-data pipelines to reduce manual capture tasks.
Oracle OCI Vision AI was integrated with Bitron’s ERP to push validated inventory events into downstream supply chain and warehouse workflows, creating near-real-time visibility for inventory management. The operational scope focused on warehouse inventory management and electronic component verification, affecting supply chain and warehouse operations teams in Italy.
Governance and process changes centralized image-based capture into existing inventory workflows and reduced manual data-entry handoffs, lowering operator requirements and changing data validation checkpoints. According to the ROI case study, the implementation delivered approximately 102 percent ROI with a short payback period, increased processing speed, and near-elimination of manual data-entry errors.
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Children's Medical Research Institute Australia | Life Sciences | 200 | $25M | Australia | Oracle | Oracle OCI Vision AI | Image Recognition | 2021 | n/a |
In 2021, Children's Medical Research Institute Australia adopted OCI Data Science, OCI Object Storage and other Oracle Cloud Infrastructure services hosted in Australia to accelerate genomic and high-resolution microscopy analysis. The institute has begun experimenting with Oracle OCI Vision AI and OCI Data Labeling to automate biomedical image workflows, aligning the deployment with the Image Recognition application category.
The implementation architecture centers on OCI Data Science for model development and training, OCI Object Storage for high-resolution image asset management, and OCI Vision for automated inference. OCI Data Labeling was introduced to create and manage annotated datasets, supporting workflows such as bounding cells and image-based analyses, while OCI Data Science provides the environment for model iteration and deployment.
Operational coverage targets research and imaging teams focused on genomic analysis and microscopy, with pilot workflows executed in Australia. Oracle's case study documents reported outcomes, including simulation time reductions from 30 days to 5 days, 30 to 50 percent efficiency gains, and approximately 30 percent cost savings, and notes OCI Vision usage in production experiments.
Governance and rollout began as experiment and pilot phases, using OCI Data Labeling to formalize annotation pipelines before broader adoption. The configuration emphasizes reproducible model training, centralized image storage, and automated inference through Oracle OCI Vision AI to support laboratory image analysis and reporting workflows.
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Integrada Cooperativa Agroindustrial | Consumer Packaged Goods | 2000 | $1.5B | Brazil | Oracle | Oracle OCI Vision AI | Image Recognition | 2024 | n/a |
In 2024, Integrada Cooperativa Agroindustrial implemented Oracle OCI Vision AI to introduce Image Recognition capabilities. The deployment was provisioned as a cloud-native service on Oracle Cloud Infrastructure under the Oracle vendor stack, aligning the cooperative's digital channels with a managed vision service.
The implementation concentrated on core Image Recognition workflows, including image classification, object detection, and optical character recognition to support visual assessment use cases. Oracle OCI Vision AI was configured with model training and inference endpoints, and operationalized inference pipelines to enable real-time and asynchronous image evaluation within customer-facing workflows.
Oracle OCI Vision AI was integrated with Oracle Digital Assistant to extend the cooperative's Iris chatbot, enabling members to submit images through chat for automated assessment and responses. The integration connected chatbot interaction flows with vision inference, routing visual inputs from the mobile app and member support channels into OCI Vision AI for analysis and returning structured results to the Iris conversational layer.
Program governance established controls and a staged approach for introducing additional AI-driven capabilities, prioritizing member-facing assessment workflows and chatbot interactions. Integrada reported improved engagement with the virtual assistant, enhanced assessment of their app among users, and that the initiative opened the way for implementation of new AI-based features.
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Now Optics | Retail | 1700 | $553M | United States | Oracle | Oracle OCI Vision AI | Image Recognition | 2022 | n/a |
In 2022, Now Optics implemented OCI AI services in the United States to structure customer feedback and perform sentiment and entity analysis. The initial deployment used OCI Language for text structuring and the company publicly stated plans to extend its AI footprint to Oracle OCI Vision AI within the Image Recognition category for retinal image analysis and disease flagging.
The implementation focused on text ingestion, sentiment scoring, and entity extraction workflows delivered through OCI Language, with configuration for automated tagging and routing of customer feedback into reporting and case management streams. These capabilities enabled faster, data driven decisions and supported improvements in customer experience and operational efficiency as reported in the case study.
Operational scope concentrated on customer service and operations teams in the United States, with governance work to establish taxonomy, annotation standards, and model monitoring for the OCI Language deployment. The planned Oracle OCI Vision AI adoption would add Image Recognition capabilities for clinical image ingestion, automated image triage, and disease flagging workflows, extending the governance and monitoring model to visual data.
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FAQ - APPS RUN THE WORLD Oracle OCI Vision AI Coverage
Oracle OCI Vision AI is a Image Recognition solution from Oracle.
Companies worldwide use Oracle OCI Vision AI, from small firms to large enterprises across 21+ industries.
Organizations such as Integrada Cooperativa Agroindustrial, Bitron Italy, Now Optics and Children's Medical Research Institute Australia are recorded users of
Oracle OCI Vision AI for Image Recognition.
Companies using Oracle OCI Vision AI are most concentrated in Consumer Packaged Goods, Manufacturing and Retail, with adoption spanning over 21 industries.
Companies using Oracle OCI Vision AI are most concentrated in Brazil, Italy and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Oracle OCI Vision AI across Americas, EMEA, and APAC.
Companies using Oracle OCI Vision AI range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 75%, and global enterprises with 10,000+ employees - 0%.
Customers of Oracle OCI Vision AI 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 Vision AI customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Image Recognition.