Your fastest path to Medical Policy

Transform dense healthcare policy briefs into actionable insights. Our advanced extractive ML models preserve context, saving researchers hours of analysis.

Trusted by leading Medical Research Institutes

Johns Hopkins Medicine
Mayo Clinic
Cleveland Clinic Stanford Medicine
Harvard Medical School
MIT Broad Institute Mount Sinai UCSF Health
Scripps Research
Mass General Brigham NIH Clinical Center

Upload, process, done.

1

Select Data Source

Connect to policy databases, upload PDFs, or link clinical trial feeds.

Input type... |
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Policy Documents
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Clinical Trials
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Research Papers
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Patient Logs
2

Analyze with ML

Run extraction models to identify key entities and summaries instantly.

Input
Policy_001.pdf
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Model
Med-BERT-v4
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Task
extract_summary
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Output
JSON / PDF
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3

Sync Automatically

Stay current with new policy changes thanks to seamless, automatic updates.

https://med.ai/dashboard Live
Policy Update Extracted
1:20:50 PM
New Guidelines Parsed
1:20:47 PM
Manual Upload
11:40:15 AM

Whatever your
format, it processes on
Med.AI.

Analyze any document, using any standard. If it contains text, we can summarize it.

Research with speed

Link your data source and get summaries—then iterate with every new document.

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Processed
Speed: 45ms
"Leveraging state-of-the-art NLP to transform how medical policy is understood and applied."
Afzal
ML Engineer
Afzal
Tejaswani
"Building intuitive, high-performance interfaces that make complex data accessible to everyone."
Tejaswani
Full Stack Developer
5M+
Briefs Processed
99.9%
Summarization Accuracy
100K+
Active Researchers

Ready to get started?