List of Microsoft Azure Cognitive Search Customers
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Since 2010, our global team of researchers has been studying Microsoft Azure Cognitive Search 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 Cognitive Search for Application, Web and Enterprise Search 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 Cognitive Search for Application, Web and Enterprise Search include: Beiersdorf AG, a Germany based Consumer Packaged Goods organisation with 21958 employees and revenues of $10.25 billion, Cambridgeshire And Peterborough Nhs Foundation Trust United Kingdom, a United Kingdom based Healthcare organisation with 3400 employees and revenues of $471.0 million, Arthur D. Little, a Belgium based Professional Services organisation with 1500 employees and revenues of $200.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure Cognitive Search, 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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Arthur D. Little | Professional Services | 1500 | $200M | Belgium | Microsoft | Microsoft Azure Cognitive Search | Application, Web and Enterprise Search | 2023 | n/a |
In 2023 Arthur D. Little deployed Microsoft Azure Cognitive Search to unify and semantically search its global consultancy documents and internal knowledge graph. The implementation is cataloged under the Application, Web and Enterprise Search category and was delivered alongside Azure OpenAI and Azure AI Language to enable natural language query and semantic enrichment.
The deployment focused on semantic indexing and retrieval, embedding based similarity search, and query enrichment to surface consultant-facing knowledge assets. Microsoft Azure Cognitive Search was configured to index cross‑repository content and link records into a consolidated knowledge graph, supporting conversational search and relevance tuning to improve consultant productivity in research and presentation curation.
Integrations include explicit use of Azure OpenAI and Azure AI Language to provide natural language understanding, contextual answer generation, and language processing within search workflows. Operational scope covered consulting teams with an initial rollout in France and expansion to global consultancy practices, ingesting firmwide document repositories and knowledge graph nodes for enterprise search across business functions such as knowledge management and client delivery support.
Governance and rollout began with an initial deployment in early 2023 and included phased extension of the search capability into client offerings. The firm reported up to a 50 percent reduction in client meeting preparation and presentation curation time, and is extending the solution into external client engagements while maintaining search relevance tuning and content governance processes.
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Beiersdorf AG | Consumer Packaged Goods | 21958 | $10.2B | Germany | Microsoft | Microsoft Azure Cognitive Search | Application, Web and Enterprise Search | 2022 | MaibornWolff |
In 2022 Beiersdorf AG implemented Microsoft Azure Cognitive Search to augment its R&D knowledge platform, using the Application, Web and Enterprise Search category to accelerate product research workflows in R&D Germany. The deployment targeted indexing terabytes of research content to improve discoverability for product development teams.
The implementation of Microsoft Azure Cognitive Search centered on large scale indexing across SharePoint and an enterprise data lake, with semantic search, document summarization and OCR configured as core capabilities. Indexing pipelines and enrichment steps were arranged to extract text from scanned research artifacts, apply OCR, and surface AI-generated summaries alongside semantic relevance scoring.
MaibornWolff served as the implementation partner, responsible for configuring search indexes, enrichment pipelines and connectors to SharePoint and the data lake, and for operationalizing the solution within R&D workflows. The architecture is cloud native on Azure, with Cognitive Search acting as the search and enrichment layer that federates content from existing enterprise repositories.
According to the published Microsoft customer story from 2022 the project produced faster retrieval and AI-generated summaries that let researchers spend less time searching and more time on development, directly impacting product research activity in Beiersdorf AG R&D.
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Cambridgeshire And Peterborough Nhs Foundation Trust United Kingdom | Healthcare | 3400 | $471M | United Kingdom | Microsoft | Microsoft Azure Cognitive Search | Application, Web and Enterprise Search | 2020 | n/a |
In 2020 Cambridgeshire And Peterborough Nhs Foundation Trust in the United Kingdom implemented Microsoft Azure Cognitive Search to make 23 years of electronic patient records and legacy clinical documents discoverable. The work began in June 2020 with support from Microsoft and the solution went live in October 2020, indexing approximately 3 million documents for fast retrieval. This implementation used Microsoft Azure Cognitive Search as an Application, Web and Enterprise Search capability to improve clinicians access to patient information and reduce time spent searching clinical records.
Deployment centered on cloud-hosted search indexes and an ingestion pipeline that performed full-text indexing and metadata extraction across scanned documents and electronic record formats. Configuration included relevance tuning, faceted filtering and secure document-level access controls to align results with clinical workflows and information governance. The search architecture emphasized rapid query response and relevance for clinician-facing retrieval, reducing reliance on bulk data migration.
The rollout targeted clinician user groups across the trust and followed a June to October 2020 pilot to production cadence, with governance focused on data classification and search relevance review by clinical leads. Integrations were implemented to surface indexed content within clinical information workflows while preserving existing access controls. The live service delivered fast retrieval across the indexed corpus, reduced time clinicians spent searching patient records and avoided substantial migration costs.
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