List of IQVIA Linguamatics NLP Platform Customers
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United Kingdom
Since 2010, our global team of researchers has been studying IQVIA Linguamatics NLP Platform 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 IQVIA Linguamatics NLP Platform 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 IQVIA Linguamatics NLP Platform for Analytics and BI include: Johnson & Johnson, a United States based Life Sciences organisation with 138100 employees and revenues of $88.82 billion, GSK, a United Kingdom based Life Sciences organisation with 69310 employees and revenues of $42.21 billion, AstraZeneca US, a United States based Life Sciences organisation with 17535 employees and revenues of $17.74 billion, Agios Pharmaceuticals, a United States based Life Sciences organisation with 536 employees and revenues of $125.0 million and many others.
Contact us if you need a completed and verified list of companies using IQVIA Linguamatics NLP Platform, 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 | Insight Source |
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Agios Pharmaceuticals | Life Sciences | 536 | $125M | United States | IQVIA | IQVIA Linguamatics NLP Platform | Analytics and BI | 2015 | n/a | In 2015, Agios Pharmaceuticals deployed the IQVIA Linguamatics NLP Platform to support R&D decision making. The deployment emphasized the Linguamatics I2E text mining engine to provide decision support and to build and prioritize the company pipeline, situating the work within Analytics and BI for life sciences research. The implementation centered on natural language processing and concept based text mining, using query driven extraction and semantic search to surface literature and internal documents. IQVIA Linguamatics NLP Platform was configured for iterative query development, entity recognition, and relevance scoring to enable scientists to refine evidence sets and hypothesis lists. Operational use focused on discovery and translational research teams who leveraged the platform to identify mechanistic insights and candidate prioritization signals for the pipeline. Workflows emphasized scientist authored queries and curation, with extracted concepts feeding downstream review and decision processes. Stuart Murray described his experience using Linguamatics I2E to obtain decision support and to help build Agios Pharmaceuticals pipeline, reflecting user level adoption in scientific workflows. Governance and rollout emphasized domain driven query refinement and curator validation to ensure the text mining outputs supported structured pipeline decision making. | |
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AstraZeneca US | Life Sciences | 17535 | $17.7B | United States | IQVIA | IQVIA Linguamatics NLP Platform | Analytics and BI | 2010 | n/a | In 2010, AstraZeneca US implemented the IQVIA Linguamatics NLP Platform to support text mining and biomedical informatics workflows. The deployment centered on research and development functions, with the IQVIA Linguamatics NLP Platform used as an Analytics and BI capability to surface literature signals for informatics and discovery teams. Configuration work emphasized natural language processing pipelines, concept and entity extraction, rule based query construction, and result normalization, aligning platform capabilities with literature curation and target identification use cases. I2E Linguamatics expertise is reflected in the operational configuration, and the implementation leveraged scripting and programming tools such as Perl, R, and Java to extend and automate extraction, parsing, and downstream processing. Operational integration included direct use of SQL Developer and connections to ORACLE and SQL data stores to persist parsed outputs and support query performance tuning. The implementation supported handoff into downstream analytics and curation workflows, enabling informatics specialists to iterate on dictionaries, ontologies, and query templates while retaining traceability of extracted entities. Governance focused on establishing curated query libraries, role based access controls for query and result review, and scheduled pipeline orchestration on Unix based infrastructure. Change control for query templates and annotation rules was centralized within the informatics team, enabling repeatable curation processes and consistent provenance for extracted literature data. | |
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GSK | Life Sciences | 69310 | $42.2B | United Kingdom | IQVIA | IQVIA Linguamatics NLP Platform | Analytics and BI | 2015 | n/a | In 2015, GSK implemented IQVIA Linguamatics NLP Platform as a strategic Analytics and BI capability to extract insights from unstructured biomedical text across research and safety workflows. The IQVIA Linguamatics NLP Platform was positioned to support search, concept extraction, and semantic interrogation of scientific literature and internal text corpora within GSKs research analytics environment. Implementation focused on linguistic processing modules and configurable pipelines, including named entity recognition, concept normalization, ontology and taxonomy mapping, semantic search, and rule and machine learning based information extraction. Administrators configured reusable query templates and automated indexing pipelines to accelerate retrieval of drug, target, adverse event, and protocol information, while role based user controls governed access to analytics and curation features. Operational integration centered on ingesting diverse unstructured sources such as scientific publications, clinical study reports, regulatory documents, and pharmacovigilance case narratives, with indexation and semantic layering to enable cross corpus search and downstream analytics. The deployment was integrated into GSKs centralized research analytics environment and exposed via controlled user interfaces and APIs for research scientists, clinical data teams, safety analysts, and regulatory reviewers. Governance workstreams established standardized vocabularies, annotation and curation workflows, change control for extraction rules, and audit logging to support reproducible queries and compliance needs in regulated functions. Training and process adaptation emphasized query governance and analyst led curation to embed the IQVIA Linguamatics NLP Platform into routine evidence retrieval and hypothesis generation activities within R&D and safety operations. | |
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Life Sciences | 138100 | $88.8B | United States | IQVIA | IQVIA Linguamatics NLP Platform | Analytics and BI | 2015 | n/a |
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Buyer Intent: Companies Evaluating IQVIA Linguamatics NLP Platform
- Iqvia, a United States based Professional Services organization with 88000 Employees
- Shaip, a United States based Professional Services company with 600 Employees
- Taste for Shirts, a Netherlands based Retail organization with 10 Employees
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