List of Azure Text Analytics Customers
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Since 2010, our global team of researchers has been studying Azure Text Analytics 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 Azure Text Analytics for Analytics and BI 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 Azure Text Analytics for Analytics and BI include: City of Corona, a United States based Government organisation with 2000 employees and revenues of $337.0 million, Acentra Health, a United States based Healthcare organisation with 3200 employees and revenues of $300.0 million, PharmCube China, a China based Life Sciences organisation with 300 employees and revenues of $40.0 million and many others.
Contact us if you need a completed and verified list of companies using Azure Text Analytics, 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 Azure Text Analytics 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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Acentra Health | Healthcare | 3200 | $300M | United States | Microsoft | Azure Text Analytics | Analytics and BI | 2021 | n/a |
In 2021, Kepro adopted Azure Text Analytics for Health to automate extraction and relation mapping from unstructured clinical documents, focusing on utilization review and quality oversight workflows within the US healthcare context. The deployment used Azure Text Analytics to surface clinical entities and relationships at scale to accelerate reviewer triage and case processing and to feed downstream authorization workflows.
Acentra Health is profiled here in the Analytics and BI category as a comparable healthcare operator evaluating text analytics for clinical document processing, with Azure Text Analytics offering core capabilities such as entity extraction, relation mapping, and document classification that align with utilization review and quality oversight requirements. The implementation emphasis was on structured outputs from free text that can be consumed by reviewer queues and authorization decision logic for Medicare and Medicaid cases.
Operational scope in the Kepro example centered on utilization management and clinical quality oversight teams, integrating automated entity outputs into reviewer workflows and SLA monitoring. Reported outcomes included improved reviewer efficiency, faster authorizations for Medicare and Medicaid cases, and assistance in meeting SLAs by surfacing key clinical entities and relationships at scale.
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City of Corona | Government | 2000 | $337M | United States | Microsoft | Azure Text Analytics | Analytics and BI | 2018 | Redapt, formerly Attunix |
In 2018 the City of Corona implemented Azure Text Analytics as part of a citizen-facing chatbot proof of concept within the Analytics and BI category. The initiative targeted public sector customer service, using Microsoft QnA Maker together with Azure Text Analytics to surface answers from the municipal website and to reduce routine call volume to contact centers.
The implementation centered on QnA Maker knowledge base creation and Azure Text Analytics driven natural language understanding, with configuration work focused on entity and key phrase extraction to improve retrieval accuracy. The solution applied standard content ingestion workflows from web pages into a structured QnA knowledge base, and tuned Text Analytics models to better classify citizen intents and match inquiries to canonical answers.
Operational integration connected the chatbot to the City of Corona website and to front line call deflection workflows, positioning the solution at the intersection of web content management and contact center intake. The project was delivered by Redapt, formerly Attunix, using Azure Cognitive Services technologies in a proof of concept scope for US public sector operations and citizen services.
Governance emphasized partner-led POC delivery and iterative tuning of question and answer mappings and NLU thresholds, enabling a controlled rollout path from prototype to broader use. Outcomes reported by the city included reduced manual call handling and improved response times, as captured during the proof of concept phase.
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PharmCube China | Life Sciences | 300 | $40M | China | Microsoft | Azure Text Analytics | Analytics and BI | 2022 | Microsoft |
In 2022, PharmCube China implemented Azure Text Analytics as part of a China pharmaceutical data platform initiative in the Analytics and BI category. The project targeted standardization of sales data extraction and matching of clinical trial indications across multilingual documents in the health and life sciences domain.
The implementation combined Azure Form Recognizer for structured and semi structured field capture with Azure Text Analytics for Health for clinical entity recognition and indication mapping. Functional modules included optical character recognition, entity extraction, multilingual language detection, clinical named entity normalization, and data enrichment pipelines that produced cleaned, structured records consumable by analytics workloads.
Deployment architecture was built on Microsoft Azure services and executed in collaboration with the Microsoft AI Co Innovation Lab, with Microsoft acting as the system integrator. Integrations routed text analytics outputs into PharmCube internal data stores and the China pharmaceutical data platform, enabling automated pharmaceutical data mining workflows that span sales and clinical research functions.
Governance covered model tuning, validation workflows, and production monitoring to sustain clinical mapping precision during rollout of multilingual document ingestion and automated data cleaning. The project reported very high match rates, approximately 97.7 percent, which accelerated data cleaning and enabled deeper automated pharmaceutical data mining.
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