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DISQOVER KNOWLEDGE PLATFORM

Extract valuable insights and knowledge from unstructured text data with natural language processing (NLP) technology

Transform even more data into knowledge, even faster

DISQOVER is the leading knowledge discovery platform deployed by top pharma companies like AstraZeneca, Merck, BMS, and more.

DISQOVER’s NLP technology comes with a powerful named entity recognition (NER) and an extraction engine which allows you to quickly find and analyze information about specific biological entities and their relationships (such as diseases, genes, proteins, and more), populations, interventions, and outcomes that are mentioned in large volumes of text data.

Book a personalized demo now

Try our NLP functionality for text mining

  • Process private and public data with pre-configured yet adjustable annotators
  • Comes with the following models: PICOS, Biomedical Entities, and Informed Consent Form (ICF)
  • One-stop-shop: one single solution for structured AND unstructured data
  • Modular and flexible: deploy NLP for a single use case or for multiple use cases at once
  • Expert team of data scientists, machine learning engineers, and bioinformaticians available to support with implementation and user roll-out
  • Designed exclusively to meet the data and knowledge management needs of life sciences professionals 

Ready to see DISQOVER with NLP in action? Request a personalized demo today! Complete the form at the top of the page.

ONTOFORCE DISQOVER Natural Language Processing (NLP) platform illustration

Unlock the power of data with DISQOVER's
user-friendly and accessible NLP functionality,
built exclusively for the life sciences industry.

Trusted by leaders in the life-sciences industry

ontoforce-disqover-client-AstraZeneca
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Prinses Maxima Centrum ONTOFORCE DISQOVER client

ONTOFORCE enables life science companies to unlock hidden insights from data.


With DISQOVER, built on knowledge graph technology, we support life sciences and pharmaceutical companies with innovative data management and visualization.

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