AI Buyer Insights:

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

List of IQVIA Linguamatics NLP Platform Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
Johnson & Johnson Life Sciences 138100 $88.8B United States IQVIA IQVIA Linguamatics NLP Platform Analytics and BI 2015 n/a
In 2015, Johnson & Johnson deployed IQVIA Linguamatics NLP Platform. The IQVIA Linguamatics NLP Platform is an Analytics and BI application implemented to extract structured intelligence from unstructured biomedical text and internal documents, aligning platform capabilities with life sciences information workflows. The implementation centered on core NLP modules and capabilities typical to the category, including entity and concept extraction, semantic search and ontology driven indexing, relation extraction, document clustering and configurable query pipelines. The platform provided natural language querying, rule based and machine learning assisted text mining, and workflow orchestration for curation and analyst review, enabling repeatable text analytic processes. Johnson & Johnson used the IQVIA Linguamatics NLP Platform to support research and development and medical affairs functions, applying concept based search and text analytics to literature review, target identification and safety signal exploration. The deployment emphasized taxonomy and ontology alignment to maintain semantic consistency across biomedical vocabularies and controlled vocabularies that feed downstream analytics. Operational governance incorporated role based access controls, curated concept libraries and review workflows for validated outputs, together with configuration management for query pipelines and annotation rules. The narrative reflects a focused Analytics and BI implementation of IQVIA Linguamatics NLP Platform at Johnson & Johnson in 2015, oriented toward accelerating unstructured data discovery in life sciences workflows.
Showing 1 to 4 of 4 entries

Buyer Intent: Companies Evaluating IQVIA Linguamatics NLP Platform

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating IQVIA Linguamatics NLP Platform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating IQVIA Linguamatics NLP Platform for Analytics and BI include:

  1. Shaip, a United States based Professional Services organization with 600 Employees
  2. Taste for Shirts, a Netherlands based Retail company with 10 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD IQVIA Linguamatics NLP Platform Coverage

IQVIA Linguamatics NLP Platform is a Analytics and BI solution from IQVIA.

Companies worldwide use IQVIA Linguamatics NLP Platform, from small firms to large enterprises across 21+ industries.

Organizations such as Johnson & Johnson, GSK, AstraZeneca US and Agios Pharmaceuticals are recorded users of IQVIA Linguamatics NLP Platform for Analytics and BI.

Companies using IQVIA Linguamatics NLP Platform are most concentrated in Life Sciences, with adoption spanning over 21 industries.

Companies using IQVIA Linguamatics NLP Platform are most concentrated in United States and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of IQVIA Linguamatics NLP Platform across Americas, EMEA, and APAC.

Companies using IQVIA Linguamatics NLP Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 75%.

Customers of IQVIA Linguamatics NLP Platform include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified IQVIA Linguamatics NLP Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.