List of Microsoft Azure AI Vision Customers
Redmond, 98052-6399, WA,
United States
Since 2010, our global team of researchers has been studying Microsoft Azure AI 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 Azure AI 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 Azure AI Vision for Computer Vision include: Lloyds Banking Group, a United Kingdom based Banking and Financial Services organisation with 61228 employees and revenues of $24.18 billion, Arizona Department of Transportation, a United States based Government organisation with 2000 employees and revenues of $470.0 million, Shift Technology, a France based Professional Services organisation with 600 employees and revenues of $80.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure AI 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.
The Microsoft Azure AI Vision 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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Arizona Department of Transportation | Government | 2000 | $470M | United States | Microsoft | Microsoft Azure AI Vision | Computer Vision | 2025 | n/a |
In 2025, Arizona Department of Transportation's Motor Vehicle Division implemented Microsoft Azure AI Vision Face API, including liveness detection, to verify identities for online services. The deployment uses Microsoft Azure AI Vision in the Computer Vision category to support mobile driver license verification and remote title transfers.
Implementation focused on embedding the Face API and liveness detection into digital identity workflows for the Motor Vehicle Division, enabling complete verification across web and mobile channels. Functional capabilities implemented include facial biometric capture, automated liveness checks, and verification decisioning within transaction flows. The face and liveness solution became operational in 2025.
Operational coverage centers on online services, mobile driver license verification, and remote title transfer processes, with the system integrated into DMV transaction pathways and customer-facing authentication flows. The work directly impacted identity verification and customer service functions within the Motor Vehicle Division.
State reporting cited faster, more secure identity checks and that the approach enabled more services to be completed remotely, and Arizona Department of Transportation plans to expand the face and liveness approach across other agencies. Governance and rollout activity emphasized operationalizing liveness detection for remote transactions and scaling verification workflows across agency services.
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Lloyds Banking Group | Banking and Financial Services | 61228 | $24.2B | United Kingdom | Microsoft | Microsoft Azure AI Vision | Computer Vision | 2025 | n/a |
In 2025 Lloyds Banking Group deployed Microsoft Azure AI Vision as the core Computer Vision component of a Branch Translation App built with Microsoft Power Apps. The deployment delivered real-time translation and camera-based visual document processing to branch staff and customers across the United Kingdom, becoming operational within weeks.
Implementation centered on a Power Apps front end that presents a camera capture workflow to branch employees and customers, with AI Builder used to route image data to Microsoft Azure AI Vision for advanced document and visual processing. Functional capabilities implemented include live speech and text translation, camera-based document capture, and visual document extraction workflows consistent with Computer Vision solutions.
Integrations were limited to Microsoft platform services, specifically Power Apps together with AI Builder connectors into Azure AI Vision and supporting Azure AI services. Operational scope covered retail branches in the UK and the front-line customer service and branch operations functions, enabling staff to handle multilingual interactions and process customer documents on site.
Rollout was executed quickly across branches, with the solution provisioned through Power Apps to accelerate distribution and with AI Builder controlling the connection to Azure AI Vision models. The implementation improved customer communication and inclusivity as reported, and met the stated timeline of becoming operational within weeks.
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Shift Technology | Professional Services | 600 | $80M | France | Microsoft | Microsoft Azure AI Vision | Computer Vision | 2024 | n/a |
In 2024, Shift Technology standardized its fraud-detection and claims automation platform on Microsoft Azure and implemented Microsoft Azure AI Vision. The implementation uses Azure OpenAI together with Microsoft Azure AI Vision to perform OCR, layout detection, and automated classification of insurance policies and claims. The rollout targeted insurer customers across regions and enabled processing at scale for billions of documents.
Microsoft Azure AI Vision serves as the Computer Vision component of the platform, providing document OCR, structure and layout extraction, and classification capabilities that feed downstream decisioning workflows. These Computer Vision outputs are combined with Azure OpenAI models for higher level text interpretation and automated triage within claims and fraud-detection pipelines. The deployment is consolidated on Microsoft Azure to support elastic compute and throughput required by high volume document digestion.
Governance emphasized platform standardization and centralized document ingestion to accelerate operational handoffs between claims handling and fraud-detection functions. The implementation reduced document digestion from weeks to days for insurer customers and improved scalability for processing billions of documents, enabling faster decisioning across regions.
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