List of Microsoft Azure AI Foundry Customers
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Since 2010, our global team of researchers has been studying Microsoft Azure AI Foundry 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 Foundry for Generative AI Platforms 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 Foundry for Generative AI Platforms include: BMW Group, a Germany based Automotive organisation with 146064 employees and revenues of $163.30 billion, Andritz, a Austria based Distribution organisation with 30504 employees and revenues of $9.69 billion, BKW, a Switzerland based Utilities organisation with 12223 employees and revenues of $5.66 billion, Art Basel, a Switzerland based Leisure and Hospitality organisation with 1400 employees and revenues of $200.0 million, Terra Mater Studios Austria, a Austria based Media organisation with 75 employees and revenues of $8.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure AI Foundry, 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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Andritz | Distribution | 30504 | $9.7B | Austria | Microsoft | Microsoft Azure AI Foundry | Generative AI Platforms | 2025 | n/a |
In 2025, ANDRITZ implemented Microsoft Azure AI Foundry as a core component of a Generative AI Platforms initiative that combines Microsoft 365 Copilot and Copilot Studio to preserve institutional expertise and accelerate knowledge sharing across the enterprise. The deployment is explicitly framed as an intelligent agent ecosystem centered on the Microsoft Azure AI Foundry application, supporting a broad rollout to global teams and 6,000 active Microsoft 365 Copilot users with 504 active agents aligned to specific use cases.
The implementation includes a Knowledge Preservation Agent and a portfolio of purpose-built agents that capture expert insight through interviews, videos, transcripts, and documents. These agents convert audio and video into structured reports and guidance, surface contextual knowledge on demand, and guide users to relevant content, enabling standard knowledge workflows and content automation consistent with Generative AI Platforms capabilities.
Integration points are centered in the Microsoft 365 environment, with content automatically organized and published to a dedicated SharePoint Online knowledge base, and agent interactions exposed via Microsoft 365 Copilot and Copilot Studio. Operational coverage spans onboarding and field service workflows and extends across all Business Areas, making recorded know-how accessible to teams worldwide.
Governance and operational ownership are routed through Enterprise Content Management, with ANDRITZ working alongside atwork and Microsoft to design capture, publication, and agent curation processes. The solution architecture emphasizes automated content ingestion, structured knowledge publishing, and an agent lifecycle that supports ongoing capture and indexing of domain expertise.
Reported outcomes include strong adoption and engagement, with around 90 percent of licensed users actively engaging the Microsoft 365 Copilot and agent ecosystem, smoother onboarding, faster decision making, and preserved know-how that remains available even as experienced employees transition roles. Microsoft Azure AI Foundry, combined with Microsoft 365 Copilot and Copilot Studio, therefore supports ANDRITZ in preserving critical expertise and operationalizing it across business functions.
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Art Basel | Leisure and Hospitality | 1400 | $200M | Switzerland | Microsoft | Microsoft Azure AI Foundry | Generative AI Platforms | 2025 | n/a |
In 2025, Art Basel deployed Microsoft Azure AI Foundry to power the Art Basel Companion app and the Art Basel Lens, using Microsoft Azure AI Foundry in the Generative AI Platforms category to deliver conversational and visual discovery features for its global fairs. The implementation targets visitor experience and gallery attribution across Art Basel events in Hong Kong, Basel, Paris, Qatar, and Miami Beach, synthesizing content and recommendations to help attendees plan, navigate, and engage with artworks.
The solution implements a conversational AI companion built on Microsoft Copilot and a real-time artwork recognition module called Art Basel Lens. Functional capabilities include camera-based image capture, automated cropping and embedding generation, vector similarity search for attribution, tailored recommendation generation, formatted metadata for social sharing and gallery contact, and content ingestion pipelines to normalize Word documents, PowerPoints, photos, PDFs, and other gallery-provided formats.
Architecturally the deployment uses Azure OpenAI in Foundry Models for language tasks, Azure AI Search for semantic filtering and similarity search, and Azure Machine Learning for model training. Azure Cosmos DB stores structured and unstructured records, Azure Blob Storage holds images and media, Azure API Management serves as the gateway, and Azure Container Apps with Azure Functions run a serverless orchestration layer that performs the sub two second image-to-match workflow used by the Art Basel Lens.
Data is centralized from Microsoft Dynamics CRM, a custom CMS, and a homegrown artwork database to create a unified index accessible to the AI companion, and all services run within the Art Basel tenant with encryption at rest and in transit. The build was executed in partnership with UIC Digital and Valorem Reply, and governance covers identity management and GDPR-aligned compliance controls to manage privacy and cross-border data requirements.
Early outcomes reported by Art Basel include increased engagement, more return visits, and longer time spent in the app, along with improved visibility and attribution for artists and galleries. The platform is positioned as a scalable, compliant foundation and Art Basel is exploring additional features such as wayfinding, restaurant bookings, and year-round discovery to extend the Generative AI Platforms driven experience.
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BKW | Utilities | 12223 | $5.7B | Switzerland | Microsoft | Microsoft Azure AI Foundry | Generative AI Platforms | 2025 | n/a |
In 2025, BKW deployed Microsoft Azure AI Foundry as the technical core of Edison, its enterprise Generative AI Platforms implementation, to embed AI across the organization. The initiative targeted company-wide adoption with a phased roll-out that began in specialist pilot groups and expanded through digital training, peer sessions and hands-on workshops covering corporate communications, customer service, operations, technology and energy trading functions.
The implemented architecture centers on a modular Python backend that orchestrates Azure components, explicitly integrating Azure AI Search, Azure AI Foundry, Azure AI Document Intelligence and Azure OpenAI Services. Microsoft Azure AI Foundry and Azure AI Search deliver semantic search and context-aware Generative AI responses against structured and unstructured content sourced from BKW SharePoint, while Azure AI Document Intelligence supports automated content extraction and knowledge retrieval for unit-specific solutions and a compliant enterprise chatbot.
Operational governance emphasized security, scalability and regulatory conformity, with close technical and strategic collaboration with Microsoft on architecture, governance and security reviews. The platform was designed for iterative expansion, supporting future scenarios such as agentic AI compositions, specialized energy models and planned Microsoft Copilot rollouts, and to provide AI-based wizards for on-site technical staff.
Rollout metrics and adoption signals were documented early, with Edison reaching 8% active staff use within two months and a documented pipeline of more than 40 potential use cases. A targeted communications use case accelerated editorial processing, with media inquiries processed 50% faster, illustrating initial operational benefits while preserving a governance-first approach to scaling the Generative AI Platforms capability.
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BMW Group | Automotive | 146064 | $163.3B | Germany | Microsoft | Microsoft Azure AI Foundry | Generative AI Platforms | 2025 | n/a |
In 2025, BMW implemented Microsoft Azure AI Foundry to operationalize multi agent AI for test fleet telemetry analysis, embedding Generative AI Platforms into vehicle development workflows. The deployment targets BMW R and D engineering teams responsible for test fleet analysis, enabling more than 100 engineers to access and act on 5 to 10 terabytes of weekly measurement data per development vehicle and delivering analysis up to 12 times faster than prior processes.
The solution centers on an MDR Copilot built on Microsoft Azure AI Foundry and Foundry Agent Service, using specialized agents orchestrated by Microsoft Agent Framework to interpret natural language queries, pre analyze telemetry, and generate charts and written explanations. Functional capabilities implemented include natural language retrieval and reasoning, multi agent orchestration for hypothesis testing, contextual conversational memory, and automated report generation to turn raw telemetry into actionable engineering insights.
Architecturally, agents run on Azure Kubernetes Service and retrieve telemetry via Azure Data Explorer with KQL integration, while Azure AI Search and Azure OpenAI in Foundry Models provide knowledge retrieval and reasoning. Azure Cosmos DB provides persistent conversational memory to maintain continuity across sessions, and BMW plans to introduce Azure Database for PostgreSQL to close a feedback loop that will capture engineer ratings and refine search results through Azure AI Search. This design links telemetry, documentation, and contextual signals to deliver explainable, repeatable results at scale.
Governance and operational rollout emphasize governed Azure services and IT oversight to balance speed with security, moving data access from a few IT specialists to broader engineering audiences. BMW embedded AI driven workflows into daily R and D practices so engineers can iterate in live dialogue with the system, and the platform is being scaled from proof of concept toward hundreds of daily users while preserving session continuity through scaling and restarts.
Early outcomes already reported include up to 12x faster vehicle data analysis, insights delivered before cars return to the garage, and broader democratization of telemetry access across BMW engineering programs. Microsoft Azure AI Foundry is positioned as the core Generative AI Platforms layer for ongoing extension into powertrain, software integration, and validation programs as BMW expands multi agent orchestration beyond test fleets.
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Terra Mater Studios Austria | Media | 75 | $8M | Austria | Microsoft | Microsoft Azure AI Foundry | Generative AI Platforms | 2025 | n/a |
In 2025, Terra Mater Studios Austria deployed Microsoft Azure AI Foundry to build Hera, a public multimodal conversational companion for ESA’s Hera spacecraft, using the Generative AI Platforms category to power interactive mission storytelling and education. The project was delivered in collaboration with the European Space Agency and Impact AI, and the Microsoft Azure AI Foundry application served as the central platform for model hosting, governance, and runtime orchestration.
Implementation architecture centered on Azure Container Apps hosting three microservices, the UI front end, an orchestration back end, and an external API bridge, all on serverless consumption plans to enable elastic scaling. Azure OpenAI models provisioned through Microsoft Azure AI Foundry provided low latency inference endpoints, while Azure AI Search implemented retrieval augmented generation workflows. Azure Cosmos DB functioned as Hera’s memory engine for session state, user preferences, and summarized conversation context, and Visual Studio Code was used for development and code management.
Integrations included live ESA telemetry endpoints, which were isolated behind Azure API Management acting as both external gatekeeper and internal router, and Azure AI Content Safety features such as Prompt Shields that filtered inputs and outputs before model inference. CI pipelines used GitHub Actions with Bicep provisioning to enforce environment governance across test, staging, and production tenants, and deployment was anchored in the Sweden Central Microsoft cloud region to satisfy data sovereignty requirements.
Governance and safety were embedded across the stack with a layered evaluation approach from Impact AI and Azure AI Foundry, including real time scoring for factuality, tone, and relevance, content blocking, and custom agents tracking engagement, sentiment, and brand alignment. Tracing, annotation, and prompt debugging tools supported iterative tuning of model behavior and orchestration logic, where planning and reflection agents decide whether to retrieve knowledge, recall memory, or ask follow up questions.
Explicit outcomes reported include a public Hera.Space portal and a companion that speaks more than 20 languages, synchronizes with live telemetry to translate and contextualize mission data, and is used globally including in classrooms for STEM engagement. The companion was created in a few months and the spacecraft launched in October 2024, and the implementation emphasizes rapid redeployability when telemetry endpoints or Azure OpenAI models change, enabled by the Microsoft Azure AI Foundry based architecture.
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Buyer Intent: Companies Evaluating Microsoft Azure AI Foundry
- Analyticorex India, a India based Professional Services organization with 10 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
| Analyticorex India | Professional Services | 10 | $1M | India | 2026-02-02 |