Pharma Document Analyzer (AI Agent)

What is it?

Pharma Document Analyzer is a domain-trained document-analysis agent that lets you extract insights, uncover trends, and generate concise summaries from any life-science document in a single click. Built on pre-trained pharma taxonomies and layout models, it surfaces key entities (drugs, targets, indications, organizations), tables, and figures, then uses an LLM to synthesize answers to your questions.

Who is it for?

This AI agent is ideal for:

• Biopharma R&D and Competitive-Intelligence teams

• CROs, CDMOs, and CDOs

• Venture capitalists and investor analysts

How does it help?

Life-science leaders often spend hours manually skimming dense PDFs, Word files, and PPTs to pull out the facts they need. Pharma Document Analyzer:

• Applies NER/NOR and layout models to your uploaded files (PDF, Word, PPT, images)

• Automatically identifies and extracts tables, figures, and pharma entities

• Leverages an LLM to answer your free-text queries about the document’s contents

• Summarizes and formats key findings—no more hunting through dozens of pages

Value delivered

• Time saved: 3–5 hours per week of manual document review

• Consistency: Standardized summaries across varied file formats

• Depth: Domain-specific entity recognition ensures nothing slips through the cracks

How it works

1. Upload your document (PDF, Word, PPT, or image)

2. Entity & layout extraction

   • NER/NOR models flag drugs, targets, indications, organizations

   • Layout model detects tables and figures

3. Enter your query in plain English (e.g., “Summarize the ADC clinical outcomes”)

4. LLM-powered analysis generates an answer based on extracted text, tables, and figures

5. Receive a synthesized response—complete with summary, data tables, and figure call-outs

Current limitations

• No built-in document-comparison or version-tracking

• Cannot save or annotate documents in-app

• Export options limited to PDF/PPT (no raw CSV or Excel export)