150M+

downloads of open-source libraries and AI models

500+

enterprise customers including healthcare systems, pharma, payers, government, and IT

80+

public case studies of real-world implementations

30+

peer-reviewed papers and patents establishing state-of-the-art accuracy

We help our customers put AI to good use faster

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Medical Large Language Models

Healthcare-Specific clinical text summarization, question answering, information extraction, and medical chat, powered by a medical knowledge base updated daily.

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State of the Art Clinical Data Abstraction

Peer-reviewed best accuracy for the most common information extraction tasks from medical documents. Specialty-specific models for oncology, radiology, psychiatry, pediatrics, pathology, social determinants, and more.

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Regulatory-Grade Text and Image De-Identification

De-identify, obfuscate, tokenize, and link unstructured clinical data across modalities including free text, PDF, DICOM, and SVS image files.

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No-code Human-in-the-loop Workflows

Annotate text & images, train & tune AI models, build on rules & prompts, manage projects & teams, and share models in a private hub.

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We bring you to the forefront of AI innovation in Healthcare

Trends in Applied NLP in Healthcare: Large Language Models, No-Code, and Responsible AI

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Large Language Models in Healthcare: Benchmarks, Applications, and Compliance

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Advancing the patient and provider experience with Enterprise AI

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Leveraging large language models for temporal relations extraction in oncological electronic health records.

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Can Zero-Shot Commercial APIs Deliver Regulatory-Grade Clinical Text DeIdentification?

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The Importance of Information Extraction from Unstructured Clinical Data in Pharmacoepidemiology

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Recognized by the Technology Experts

John Snow Labs wows in both proven customer success and verifiable state of the art technology

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Reach out to learn how our AI Platform and Spak NLP can improve your accuracy, speed, and scalability

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