List of Microsoft Computer Vision Customers
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Since 2010, our global team of researchers has been studying Microsoft Computer Vision 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 Microsoft Computer Vision for Computer Vision 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 Microsoft Computer Vision for Computer Vision include: Cardif Assurance Vie Japan, a Japan based Insurance organisation with 135 employees and revenues of $150.0 million, MediaValet, a Canada based Professional Services organisation with 102 employees and revenues of $8.0 million, AssetIntel, a United States based Professional Services organisation with 25 employees and revenues of $3.0 million, MoonDesk Argentina, a Argentina based Professional Services 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 Microsoft Computer Vision, 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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AssetIntel | Professional Services | 25 | $3M | United States | Microsoft | Microsoft Computer Vision | Computer Vision | 2024 | n/a |
In 2024 AssetIntel deployed Microsoft Computer Vision to prototype an AI powered bridge inspection solution. The engagement targeted transportation infrastructure in the United States and focused on improving defect identification accuracy for bridge inspection and asset condition assessment.
AssetIntel used Microsoft Computer Vision within Azure to process, index, and classify inspection images, building image processing pipelines that combined automated defect classification with metadata indexing for searchable inspection records. Implementation work emphasized image ingestion, pre processing and model inference workflows consistent with Computer Vision capabilities, and the Microsoft Computer Vision service was restated as the central application driving automated image analysis.
The prototype was developed in collaboration with the Microsoft AI Co Innovation Lab and integrated Azure Computer Vision services with AssetIntel inspection workflows to support field inspection teams and asset management processes. Operational scope was explicitly the United States transportation infrastructure sector, with the system designed to feed classified images and indexed metadata into downstream review and maintenance planning workflows.
Project governance included preparing the solution for FedRAMP aligned production and deployment, incorporating security and compliance controls into the architecture and rollout planning. Lab tests reported by AssetIntel showed a reduction in manual review time by over 40 percent, and the effort positioned Microsoft Computer Vision in the Computer Vision category as a foundation for scaled bridge inspection and defect identification business functions.
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Cardif Assurance Vie Japan | Insurance | 135 | $150M | Japan | Microsoft | Microsoft Computer Vision | Computer Vision | 2018 | n/a |
In 2018 Cardif Assurance Vie Japan implemented Microsoft Computer Vision to augment its customer-facing systems portfolio. The Microsoft Computer Vision deployment was scoped to provide image and document analysis capabilities across the Web Declaration System, MyCardif my page application and the Cardif website Online Claims module to accelerate document intake and automated data extraction in insurance workflows.
The implementation was inserted into an API based microservice architecture, with Computer Vision invoked via service APIs from Java based backends and ESB mediated flows on Tibco BusinessWorks. Frontend touchpoints were managed through Liferay CMS with Angular and React customizations, while transactional data persisted in Oracle databases, enabling extracted visual data to feed the existing rule engine integration in the Web Declaration System.
Governance and delivery followed Cardif Japan application portfolio practices, with technical specifications created from functional requirements to ensure traceability between FRD and SPC. Development and release processes included unit testing, integration testing and system integration testing, version control for artefacts, promotion of test driven development, static code scanning for OWASP compliance and DevOps pipelines using Jenkins, Sonar, Selenium, Ansible and Kubernetes for build, test and deployment automation.
Operational scope covered customer facing web applications serving both B2C consumers and B2B partner banks, and business functions included claims intake, underwriting data capture and customer self service. Microsoft Computer Vision was positioned as a component within Cardif Assurance Vie Japan Computer Vision capabilities to improve automated document processing across the insurer s customer engagement and claims handling domains.
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MediaValet | Professional Services | 102 | $8M | Canada | Microsoft | Microsoft Computer Vision | Computer Vision | 2019 | n/a |
In 2019, MediaValet integrated Microsoft Computer Vision into its cloud digital asset management platform to automate metadata generation and improve asset discoverability. The integration leveraged Microsoft Computer Vision capabilities within the Computer Vision category to extract object labels, OCR text, and dominant color metadata across large image and media inventories, supporting search and retrieval functions used by marketing and creative teams.
The implementation embedded Microsoft Computer Vision outputs into MediaValet's DAM indexing and search configuration, enabling batch processing of media and automated enrichment of asset metadata. Functional capabilities included automated tagging, text extraction from images, and color analysis, which were surfaced as structured metadata fields consumed by the DAM search and categorization modules.
Operational scope included global customers and was demonstrated in a 2019 engagement with a global telco involving approximately 300 TB and about 5 million assets, showing the solution at scale. The integration impacted marketing and creative workflows by reducing manual tagging effort and improving searchability for large media inventories, and it was positioned as a platform level enhancement to MediaValet's cloud DAM service.
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Professional Services | 10 | $1M | Argentina | Microsoft | Microsoft Computer Vision | Computer Vision | 2021 | n/a |
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