Demos
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
Regulatory-grade healthcare AI for clinical and life-sciences teams
Medical LLMs, Healthcare NLP, de-identification, OMOP harmonization, and the Patient Journey Intelligence platform — purpose-built for healthcare, validated at billion-record scale, deployed inside your environment.
State-of-the-Art Healthcare AI Platform
The industry’s leading healthcare AI technology stack including medical LLMs, clinical NLP, de-identification, OMOP data harmonization, and secondary use data platforms. Built for compliance, designed for scale.
Technology
Medical LLMs
Purpose built for scalable healthcare tasks such as information extraction, clinical summarization, reasoning, Q&A - #1 on 12 healthcare benchmarks vs. GPT-5.4, Gemini-3.1, and Claude-Opus-4.6.
Medical SLMs
3,000+ small language models for de-identification, NER, assertion, and relation extraction - fast and deployable on commodity hardware.
Generative AI Lab
No-code platform for human-in-the-loop annotation and validation. Build regulatory-grade AI pipelines without writing a single line of code.
Solutions
Multimodal De-Identification
Anonymize free text, FHIR, PDF, and DICOM files with regulatory-grade accuracy. The most accurate clinical de-identification solution available.
Data Curation
Automate patient registries, cohorts, and quality measures from clinical documents - turning unstructured EHR text into structured, queryable data.
Patient Journey Intelligence
Secondary Use Platform that integrates multimodal, longitudinal clinical data into a unified, living OMOP — delivering a complete, structured view of every patient's care pathway.
Powered By John Snow Labs
Pacific AI: Healthcare AI Governance, Validation & Monitoring
Enterprise-grade AI governance, compliance, and risk management — ensuring healthcare AI deployments meet regulatory and audit requirements at scale
- Global policy coverage
- Automated risk governance
- Continuous model monitoring
Martlet AI: Risk Adjustment and HCC Coding
Martlet AI — HCC Coding AI-powered Hierarchical Condition Category coding that automates risk adjustment workflows with clinical-grade accuracy for health plans and providers.
- Clinicians-friendly gap capture
- High-precision chart review
- Mock audits + defensible packets
Independently validated, peer-reviewed, deployed in production
Automated De-Identification, Consistent Obfuscation, and Regulatory Grade Validation of 2 Billion Patient Notes
Leveraging large language models for temporal relations extraction in oncological electronic health records
An Obfuscation Algorithm Designed to Support Machine Learning with Real World Evidence
The Importance of Information Extraction from Unstructured Clinical Data in Pharmacoepidemiology
Extraction of Social Determinants of Health From Electronic Health Records Using Natural Language Processing
Scaling Regulatory-Grade RWE:
A Hybrid NLP, SLM and Deterministic Reasoning Framework for Automated Cancer Registry Abstraction
Recognized by the Technology Experts
John Snow Labs wows in both proven customer success and verifiable state of the art technology
Purpose-built healthcare AI, production-ready
3,000+ pre-trained clinical models. Proven at 2 billion patient notes. Runs inside your secure environment
