John Snow Labs

John Snow Labs

Healthcare AI software, models, and data

Overview

John Snow Labs helps healthcare and life-science teams build, deploy, and run AI, LLM, and NLP projects by providing software, language models, and curated data. Its platform offers healthcare-focused models and datasets accessible via APIs to power clinical NLP and data processing tasks. The company differentiates itself with a healthcare-centric focus, pre-vetted clinical data, and privacy-conscious, compliant workflows designed for regulated environments. Its goal is to speed up and simplify the creation and operation of AI-powered healthcare solutions for patients and researchers.

About John Snow Labs

Simplify's Rating
Why John Snow Labs is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

AI & Machine Learning

Healthcare

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Lewes, Delaware

Founded

2015

Get referred to John Snow Labs

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • September 3, 2026 Data4Healthcare expands John Snow Labs into payer risk-adjustment workflows.
  • July 2026 3Aware embeds its de-identification into research infrastructure used by Medtronic and J&J.
  • March 25, 2026 AWS AI Competency strengthens distribution, credibility, and cloud deployment partnerships.

What critics are saying

  • OpenAI, Databricks, and Presidio commoditize de-identification before 2027 procurement cycles close.
  • Revenue depends on health-system adoption of on-prem deployments, slowing enterprise rollouts and renewals.
  • If benchmark credibility erodes, regulators and buyers will treat its moat as marketing.

What makes John Snow Labs unique

  • John Snow Labs runs models inside customer clouds, preserving PHI and procurement control.
  • Its August 2026 de-identification benchmarks beat OpenAI, Databricks, and Presidio on expert notes.
  • The 2026 FDA-ready Patient Journey Intelligence platform targets regulated secondary-use workflows, not generic copilots.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Remote Work Options

Flexible Work Hours

Paid Vacation

Health Insurance

Dental Insurance

Vision Insurance

Paid Holidays

Paid Sick Leave

401(k) Retirement Plan

401(k) Company Match

Wellness Program

Mental Health Support

Phone/Internet Stipend

Home Office Stipend

Conference Attendance Budget

Professional Development Budget

Stock Options

Company Equity

Family Planning Benefits

Fertility Treatment Support

Adoption Assistance

Parental Leave

Hybrid Work Options

Employee Referral Bonus

Tuition Reimbursement

Training Programs

Company News

GlobeNewswire
Sep 3rd, 2026
John Snow Labs and Data4Healthcare announce partnership to bring medical language models to health plan risk adjustment and quality programs.

John Snow Labs and Data4Healthcare announce partnership to bring medical language models to health plan risk adjustment and quality programs. The partnership pairs Data4Healthcare's health plan domain expertise with John Snow Labs' healthcare AI expertise to help customers automate risk adjustment, clinical quality, and care management programs. September 03, 2026 09:00 ET | Source: John Snow Labs LEWES, Del., Sept. 03, 2026 (GLOBE NEWSWIRE) - John Snow Labs, a healthcare AI company and the industry leader in medical language models, today announced a partnership with Data4Healthcare, a healthcare AI enablement firm focused on health plan risk adjustment, quality, and care management programs. The partnership gives Data4Healthcare's health plan, PBM, and provider organization customers access to John Snow Labs' Medical LLM & NLP models as well as the Patient Journey Intelligence platform to extract accurate, audit-ready information from unstructured clinical data - the source of many risk adjustment and quality gaps that claims data alone cannot close. The agreement builds on Data4Healthcare's existing work with Martlet AI, John Snow Labs' HCC coding and RADV company. It extends that relationship to John Snow Labs' specialized LLM, NLP and Patient Journey Intelligence capabilities, with AI governance support available through Pacific AI. Together, the three cover the areas Data4Healthcare's health plan customers raise most often as immediate business needs that leverage healthcare AI. Much of the information payers need for accurate risk scores, quality measures, and care gap analysis sits in unstructured clinical notes, PDFs, and scanned records that structured EHR records and claims data does not capture. John Snow Labs processes this data inside the customer's own cloud environment (on AWS, Azure, Oracle, Databricks, or Snowflake) rather than as an external service, and licenses its models on a fixed, patient-volume basis instead of per API call or per token, providing health plans with predictable costs as data volume scales. "You do not get an accurate risk score or quality measure without the information sitting in a patient's clinical notes," said David Talby, CEO of John Snow Labs. "Data4Healthcare's relationships and expertise across health plans can give that data a direct path into the programs that need it." "Health plans have largely solved structured-data analytics. The real gaps in risk adjustment, quality reporting and care management programs live in the unstructured clinical narrative," said Jim Doyle, co-founder and president of Data4Healthcare. "Pairing John Snow Labs' medical language models with our solutions for these important programs gives our health plan clients a faster path to closing those gaps and realizing meaningful value across the organization." Under the agreement, Data4Healthcare will advise health plans, PBM, and provider organization customers how to best leverage and deploy John Snow Labs and Data4Healthcare solutions. The companies will coordinate account planning, sales enablement, and joint marketing efforts. About John Snow Labs John Snow Labs is a healthcare AI company and the industry leader in medical language models. Its Medical LLM, Healthcare NLP, multimodal de-identification, OMOP harmonization, and Patient Journey Intelligence technology run inside customer environments - on-premises or private cloud - for 500+ enterprise customers across health systems, life sciences, payers, and government. John Snow Labs has published 80+ public case studies and 30+ peer-reviewed papers, and its open-source libraries have been downloaded more than 150 million times. Learn more at johnsnowlabs.com. About Data4Healthcare Data4Healthcare (D4H) is a healthcare AI enablement firm building applications that apply medical NLP and language models across structured and unstructured data to improve outcomes in risk adjustment, quality, and care management. D4H's applications deploy end-to-end on its own platform or integrate directly into a client's existing systems, giving health plans, PBMs, and provider organizations the flexibility to adopt AI-driven capabilities without disrupting current workflows or infrastructure. Learn more at Data4Healthcare.com Media Contact Kateryna Lee Head of Marketing at John Snow Labs [email protected]

Associated Press
Jul 22nd, 2026
3Aware partners with John Snow Labs to embed multimodal de-identification in Evidence Vault

3Aware has partnered with John Snow Labs to integrate multimodal de-identification technology into its Evidence Vault platform. The collaboration enables health systems to process privacy-protected clinical data for research whilst keeping information within their secure environments. John Snow Labs' de-identification capabilities, offered at no charge to 3Aware's healthcare provider partners, work with structured and unstructured data including EHR records, PDFs, and DICOM files. The technology supports HIPAA Expert Determination workflows and maintains longitudinal linkage through consistent tokenisation. The partnership aims to accelerate the creation of research-ready datasets and support both investigator-led and life sciences-funded research. 3Aware currently works with 15 manufacturers including Medtronic, Johnson & Johnson, and Boston Scientific. John Snow Labs' medical language models are used by over 500 enterprise customers across health systems, payers, and life sciences organisations.

Neotrope
Jul 22nd, 2026
3Aware and John Snow Labs announce partnership to deliver multimodal de-identification inside the 3Aware Evidence Vault.

3Aware and John Snow Labs announce partnership to deliver multimodal de-identification inside the 3Aware Evidence Vault. INDIANAPOLIS, Ind. and LEWES, Del., July 22, 2026 (SEND2PRESS NEWSWIRE) - 3Aware today announced a formal partnership with John Snow Labs to embed their world-class multimodal de-identification capabilities directly within the 3Aware Evidence Vault, enabling health systems to unlock governed, privacy-protected real-world clinical data for scalable research and commercialization - while keeping data and analytic processing inside the provider environment. Image caption: 3Aware and John Snow Labs announce partnership to deliver multimodal de-identification inside the 3Aware Evidence Vault. The partnership combines 3Aware's Evidence Vault model, built to activate longitudinal, multimodal clinical data under each health system's strict governance and controls, with John Snow Labs' in-environment de-identification technology for multimodal clinical data, including structured data and unstructured EHR data, PDFs, DICOM, FHIR, and text reports. John Snow Labs' capabilities - available at no charge to 3Aware's healthcare provider data partners - are integrated directly into 3Aware's native data curation and transformation workflow. Together, the companies will help health systems operationalize HIPAA Expert Determination workflows, preserve longitudinal linkage through consistent tokenization, and accelerate the creation of research-ready cohorts without moving raw patient data outside institutional control. With this foundation in place, 3Aware can scale in silico, non-interventional observational studies by more easily surfacing and interpreting the longitudinal clinical context embedded across complete episodes of care, including the unstructured clinical narrative that structured coding and claims typically miss. Faster de-identification via John Snow Labs reduces the time needed to onboard new health system partners and produce research-ready datasets - supporting both internal KOL-led research and life sciences-funded research collaborations at greater scale - within the 3Aware Evidence Vault. As 3Aware expands from industry-sponsored evidence programs to support investigator-led research within academic medical centers, the combined solution accelerates comparative effectiveness research (CER) and value analysis across interventions, pathways, procedures, and patient subgroups. "This partnership advances our core principle: health systems shouldn't have to choose between protecting patient privacy and unlocking meaningful evidence," said William (Bill) Moss, CEO of 3Aware. "By integrating John Snow Labs' multimodal de-identification inside the 3Aware Evidence Vault, we're making it easier for providers to participate as Commercial Data Partners - safely generating scalable, defensible real-world evidence and enabling new, non-reimbursement revenue through governed research collaboration." "As healthcare organizations move from pilot projects to scalable secondary use, the ability to de-identify multimodal clinical data where it lives is foundational," said David Talby, CEO, John Snow Labs. "Partnering with 3Aware brings our de-identification capabilities into a federated evidence infrastructure designed for real operational constraints: governance, auditability, and reliable outputs." "For health systems, de-identification is one of the biggest determinants of whether secondary-use research can scale responsibly," said Neil Martin, former Chief Quality Officer of Geisinger, former Chief Medical Officer of Providence Southern Division, and 3Aware Strategic Advisory Board Member. "Having trusted, world-class multimodal de-identification capabilities embedded directly within the 3Aware Evidence Vault helps mitigate risk and accelerates the ability to participate, so health systems can unlock research value while maintaining the privacy protections and governance patients and institutions expect." ABOUT 3AWARE 3Aware provides a Clinical Scientific Workbench and Evidence Vault that enable health systems to generate real-world evidence from longitudinal clinical records - structured and unstructured - processed within the health system's secure cloud. The platform supports rapid cohort definition, preserves full episode-of-care context, and uses interpretive AI to surface determinant clinical signals for defensible analysis. This model strengthens investigator-led research within partner institutions and enables MedTech manufacturers to run in silico, non-interventional observational studies on devices as used at the point of care. Today, 3Aware supports 15 leading manufacturers, including Medtronic(R), Johnson & Johnson(R), Boston Scientific(R), Stryker(R), BD(R), Zimmer Biomet(R), CONMED(R), and Teleflex(R). See https://3aware.ai/ for more information. ABOUT JOHN SNOW LABS John Snow Labs is a healthcare AI company whose medical language models are used by 500+ enterprise customers across health systems, payers, life sciences organizations, and government agencies. Its de-identification platform removes PHI from structured data, clinical notes, FHIR, PDFs, DICOM, and SVS images, with regulatory-grade accuracy, validated across billions of patient notes and in peer-reviewed research. All processing runs inside the customer's secure environment: no data leaves institutional control, and every pipeline produces confidence scores and audit logs that meet HIPAA Expert Determination standards. John Snow Labs also provides clinical NLP, medical LLMs, OMOP harmonization, and terminology services that let healthcare and life sciences teams build production-grade data pipelines without moving raw patient records off-premises. See https://www.johnsnowlabs.com/ for more information. MEDIA CONTACTS Phil Stoltzfus VP, Marketing & Public Relations, 3Aware [email protected] Kateryna Lee Head of Marketing, John Snow Labs [email protected] News Source: 3Aware Follow Send2Press Newswire on Google News, or add Send2Press on Inc. as a preferred source, to get its latest news announcements from all topics in your feeds. Shortcode: https://i.send2press.com/YnUTd RELATED TOPICS: ABOUT THE NEWS SOURCE: 3Aware. 3Aware provides a Clinical Scientific Workbench and Evidence Vault that enable health systems to generate real-world evidence from longitudinal clinical records-structured and unstructured-processed within the health system's secure cloud. The platform supports rapid cohort definition, preserves full episode-of-care context, and uses interpretive AI to surface determinant clinical signals for defensible analysis. LEGAL NOTICE AND TERMS OF USE: The content of the above press release was provided by the "news source" 3Aware or authorized agency, who is solely responsible for its accuracy. Send2Press(R) is the originating wire service for this story and content is Copr. (C) 3Aware with newswire version Copr. (C) 2026 Send2Press (a service of Neotrope). All trademarks acknowledged. Information is believed accurate, as provided by news source or authorized agency, however is not guaranteed, and you assume all risk for use of any information found herein/hereupon. Rights granted for reproduction by any legitimate news organization (or blog, or syndicator). However, if news is cloned/scraped verbatim, then original attribution must be maintained with link back to this page as "original syndication source." Resale of this content for commercial purposes is prohibited without a license. Reproduction on any site selling a competitive service is also prohibited. This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. Story Reads as of 2026-07-22 14:26:09: 432 views

CitizenWire
Jul 22nd, 2026
News: 3Aware and John Snow Labs announce partnership to deliver multimodal de-identification inside the 3Aware Evidence Vault | CitizenWire.

News: 3Aware and John Snow Labs announce partnership to deliver multimodal de-identification inside the 3Aware Evidence Vault | CitizenWire. INDIANAPOLIS, Ind. and LEWES, Del. /CitizenWire/ - 3Aware today announced a formal partnership with John Snow Labs to embed their world-class multimodal de-identification capabilities directly within the 3Aware Evidence Vault, enabling health systems to unlock governed, privacy-protected real-world clinical data for scalable research and commercialization-while keeping data and analytic processing inside the provider environment. The partnership combines 3Aware's Evidence Vault model, built to activate longitudinal, multimodal clinical data under each health system's strict governance and controls, with John Snow Labs' in-environment de-identification technology for multimodal clinical data, including structured data and unstructured EHR data, PDFs, DICOM, FHIR, and text reports. John Snow Labs' capabilities-available at no charge to 3Aware's healthcare provider data partners-are integrated directly into 3Aware's native data curation and transformation workflow. Together, the companies will help health systems operationalize HIPAA Expert Determination workflows, preserve longitudinal linkage through consistent tokenization, and accelerate the creation of research-ready cohorts without moving raw patient data outside institutional control. With this foundation in place, 3Aware can scale in silico, non-interventional observational studies by more easily surfacing and interpreting the longitudinal clinical context embedded across complete episodes of care, including the unstructured clinical narrative that structured coding and claims typically miss. Faster de-identification via John Snow Labs reduces the time needed to onboard new health system partners and produce research-ready datasets-supporting both internal KOL-led research and life sciences-funded research collaborations at greater scale-within the 3Aware Evidence Vault. As 3Aware expands from industry-sponsored evidence programs to support investigator-led research within academic medical centers, the combined solution accelerates comparative effectiveness research (CER) and value analysis across interventions, pathways, procedures, and patient subgroups. "This partnership advances our core principle: health systems shouldn't have to choose between protecting patient privacy and unlocking meaningful evidence," said William (Bill) Moss, CEO of 3Aware. "By integrating John Snow Labs' multimodal de-identification inside the 3Aware Evidence Vault, we're making it easier for providers to participate as Commercial Data Partners-safely generating scalable, defensible real-world evidence and enabling new, non-reimbursement revenue through governed research collaboration." "As healthcare organizations move from pilot projects to scalable secondary use, the ability to de-identify multimodal clinical data where it lives is foundational," said David Talby, CEO, John Snow Labs. "Partnering with 3Aware brings our de-identification capabilities into a federated evidence infrastructure designed for real operational constraints: governance, auditability, and reliable outputs." "For health systems, de-identification is one of the biggest determinants of whether secondary-use research can scale responsibly," said Neil Martin, former Chief Quality Officer of Geisinger, former Chief Medical Officer of Providence Southern Division, and 3Aware Strategic Advisory Board Member. "Having trusted, world-class multimodal de-identification capabilities embedded directly within the 3Aware Evidence Vault helps mitigate risk and accelerates the ability to participate, so health systems can unlock research value while maintaining the privacy protections and governance patients and institutions expect." ABOUT 3AWARE 3Aware provides a Clinical Scientific Workbench and Evidence Vault that enable health systems to generate real-world evidence from longitudinal clinical records-structured and unstructured-processed within the health system's secure cloud. The platform supports rapid cohort definition, preserves full episode-of-care context, and uses interpretive AI to surface determinant clinical signals for defensible analysis. This model strengthens investigator-led research within partner institutions and enables MedTech manufacturers to run in silico, non-interventional observational studies on devices as used at the point of care. Today, 3Aware supports 15 leading manufacturers, including Medtronic(R), Johnson & Johnson(R), Boston Scientific(R), Stryker(R), BD(R), Zimmer Biomet(R), CONMED(R), and Teleflex(R). See https://3aware.ai/ for more information. ABOUT JOHN SNOW LABS John Snow Labs is a healthcare AI company whose medical language models are used by 500+ enterprise customers across health systems, payers, life sciences organizations, and government agencies. Its de-identification platform removes PHI from structured data, clinical notes, FHIR, PDFs, DICOM, and SVS images, with regulatory-grade accuracy, validated across billions of patient notes and in peer-reviewed research. All processing runs inside the customer's secure environment: no data leaves institutional control, and every pipeline produces confidence scores and audit logs that meet HIPAA Expert Determination standards. John Snow Labs also provides clinical NLP, medical LLMs, OMOP harmonization, and terminology services that let healthcare and life sciences teams build production-grade data pipelines without moving raw patient records off-premises. See https://www.johnsnowlabs.com/ for more information. Information is believed accurate but is not guaranteed. For questions about the above news, contact the company/org/person noted in the text and NOT this website.

3Aware
Jul 22nd, 2026
3Aware and John Snow Labs announce partnership to deliver multimodal de-identification inside the 3Aware Evidence Vault.

3Aware and John Snow Labs announce partnership to deliver multimodal de-identification inside the 3Aware Evidence Vault. July 22, 2026 - 3Aware today announced a formal partnership with John Snow Labs to embed their world-class multimodal de-identification capabilities directly within the 3Aware Evidence Vault, enabling health systems to unlock governed, privacy-protected real-world clinical data for scalable research and commercialization - while keeping data and analytic processing inside the provider environment. The partnership combines 3Aware's Evidence Vault model, built to activate longitudinal, multimodal clinical data under each health system's strict governance and controls, with John Snow Labs' in-environment de-identification technology for multimodal clinical data, including structured data and unstructured EHR data, PDFs, DICOM, FHIR, and text reports. John Snow Labs' capabilities - available at no charge to 3Aware's healthcare provider data partners - are integrated directly into 3Aware's native data curation and transformation workflow. Together, the companies will help health systems operationalize HIPAA Expert Determination workflows, preserve longitudinal linkage through consistent tokenization, and accelerate the creation of research-ready cohorts without moving raw patient data outside institutional control. With this foundation in place, 3Aware can scale in silico, non-interventional observational studies by more easily surfacing and interpreting the longitudinal clinical context embedded across complete episodes of care, including the unstructured clinical narrative that structured coding and claims typically miss. Faster de- identification via John Snow Labs reduces the time needed to onboard new health system partners and produce research-ready datasets - supporting both internal KOL-led research and life sciences-funded research collaborations at greater scale - within the 3Aware Evidence Vault. As 3Aware expands from industry-sponsored evidence programs to support investigator-led research within academic medical centers, the combined solution accelerates comparative effectiveness research (CER) and value analysis across interventions, pathways, procedures, and patient subgroups. "This partnership advances our core principle: health systems shouldn't have to choose between protecting patient privacy and unlocking meaningful evidence," said William (Bill) Moss, CEO of 3Aware. "By integrating John Snow Labs' multimodal de-identification inside the 3Aware Evidence Vault, we're making it easier for providers to participate as Commercial Data Partners - safely generating scalable, defensible real-world evidence and enabling new, non-reimbursement revenue through governed research collaboration." "As healthcare organizations move from pilot projects to scalable secondary use, the ability to de-identify multimodal clinical data where it lives is foundational," said David Talby, CEO, John Snow Labs. "Partnering with 3Aware brings our de-identification capabilities into a federated evidence infrastructure designed for real operational constraints: governance, auditability, and reliable outputs." "For health systems, de-identification is one of the biggest determinants of whether secondary-use research can scale responsibly," said Neil Martin, former Chief Quality Officer of Geisinger, former Chief Medical Officer of Providence Southern Division, and 3Aware Strategic Advisory Board Member. "Having trusted, world-class multimodal de-identification capabilities embedded directly within the 3Aware Evidence Vault helps mitigate risk and accelerates the ability to participate, so health systems can unlock research value while maintaining the privacy protections and governance patients and institutions expect." About 3Aware. 3Aware provides a Clinical Scientific Workbench and Evidence Vault that enable health systems to generate real-world evidence from longitudinal clinical records - structured and unstructured - processed within the health system's secure cloud. The platform supports rapid cohort definition, preserves full episode-of-care context, and uses interpretive AI to surface determinant clinical signals for defensible analysis. This model strengthens investigator-led research within partner institutions and enables MedTech manufacturers to run in silico, non-interventional observational studies on devices as used at the point of care. Today, 3Aware supports 15 leading manufacturers, including Medtronic(R), Johnson & Johnson(R), Boston Scientific(R), Stryker(R), BD(R), Zimmer Biomet(R), CONMED(R), and Teleflex(R). About John Snow Labs. John Snow Labs is a healthcare AI company whose medical language models are used by 500+ enterprise customers across health systems, payers, life sciences organizations, and government agencies. Its de- identification platform removes PHI from structured data, clinical notes, FHIR, PDFs, DICOM, and SVS images, with regulatory-grade accuracy, validated across billions of patient notes and in peer-reviewed research. All processing runs inside the customer's secure environment: no data leaves institutional control, and every pipeline produces confidence scores and audit logs that meet HIPAA Expert Determination standards. John Snow Labs also provides clinical NLP, medical LLMs, OMOP harmonization, and terminology services that let healthcare and life sciences teams build production-grade data pipelines without moving raw patient records off-premises. See johnsnowlabs.com for more information. Participation. To request an overview of the 3Aware Evidence Vault or discuss participation, contact 3Aware, Inc..

Recently Posted Jobs

Sign up to get curated job recommendations

John Snow Labs is Hiring for 2 Jobs on Simplify!

Find jobs on Simplify and start your career today

Don't see your dream role? Check out thousands of other roles on Simplify. Browse all jobs →