Healthcare & Life Sciences / Drug R&D Tech

Best Biomedical Natural Language Processing (NLP) Companies

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What is Biomedical Natural Language Processing (NLP)?

The biomedical natural language processing (NLP) market uses advanced algorithms and linguistic models to extract and analyze information from vast amounts of biomedical text data such as scientific literature, electronic health records, and clinical trial reports. By leveraging biomedical NLP solutions, researchers, clinicians, and pharmaceutical companies can gain actionable insights, discover hidden patterns, and unlock knowledge buried within unstructured data. These applications enable more efficient literature reviews, improved clinical decision-making, streamlined drug discovery processes, and enhanced pharmacovigilance.

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Top Biomedical Natural Language Processing (NLP) Companies

nference logo
nference

United States / Founded Year: 2013

nference is a science-first software company that focuses on transforming unstructured data from electronic medical records (EMR) into powerful software solutions in the healthcare and life sciences industry. The company's main services include the development of software products that enable the synthesis of biomedical information, the creation of AI-enabled solutions for healthcare, and the provision of tools that unlock insights from structured and unstructured patient records. nference primarily sells to the healthcare ecosystem, with a focus on medical centers and biopharmaceutical companies. It was founded in 2013 and is based in Cambridge, Massachusetts.

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Mayo Clinic

Key People

Murali Aravamudan, Thomas McNaughton, Ajit Rajasekharan, and 2 more

All Companies in Biomedical Natural Language Processing (NLP)

Biorelate logo
Biorelate

United Kingdom / Founded Year: 0000

Biorelate is a company that focuses on using artificial intelligence and natural language processing to curate biomedical data, operating within the biopharma industry. The company offers a range of products and services that provide scientists with tools and insights for drug discovery and development, including a platform that accelerates research intelligence. Biorelate primarily serves the pharmaceutical and biotech industries. It was founded in 2014 and is based in Manchester, England.

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Causaly logo
Causaly

United Kingdom / Founded Year: 0000

Causaly offers an operating system for biomedical and health data. It is an AI platform to help researchers accelerate the development and testing of drugs. The company was founded in 2018 and is based in London, United Kingdom.

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Huma.AI

United States / Founded Year: 0000

Huma.AI provides a business intelligence platform to automate healthcare through human language. Its platform can extract insights from unstructured data such as word, pdf, or free text, connects data silos through human language, and provides answers, enabling companies, scientists, and clinicians. The company was founded in 2019 and is based in Palo Alto, California.

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IOMED logo
IOMED

Spain / Founded Year: 0000

IOMED develops natural language processing tools. It offers a solution to help understand the free text from electronic health records (EHRs), letters, and more to provide hospitals with implantable cardioverter-defibrillator (ICD)-10 coding and big data management insights. The company was founded in 2016 and is based in Barcelona, Spain.

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Our Methodology

The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.

What is Biomedical Natural Language Processing (NLP)?

The biomedical natural language processing (NLP) market uses advanced algorithms and linguistic models to extract and analyze information from vast amounts of biomedical text data such as scientific literature, electronic health records, and clinical trial reports. By leveraging biomedical NLP solutions, researchers, clinicians, and pharmaceutical companies can gain actionable insights, discover hidden patterns, and unlock knowledge buried within unstructured data. These applications enable more efficient literature reviews, improved clinical decision-making, streamlined drug discovery processes, and enhanced pharmacovigilance.

Expert Collections

Subscribe for more information

Market Map

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Do you compete within Biomedical Natural Language Processing (NLP)?

Reach more buyers.

Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.