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, structures, pharma entities and highlights references and citations

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

    • You can also screenshot specific regions of your documents to ask questions about a specific table/chart

  • 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

Document Upload (PDF, Word, PPT*, or image)

 

Note that you can upload up to 5 documents at once

*See Current Limitations below for more information on PowerPoint inputs

 

Analysis Features

After uploading your document, there are various functions available to analyze your uploaded file:

 

Chat

Here you can enter your query in plain English (e.g., “What is the purpose of the chemical linkers in antibody-drug conjugates (ADCs)?”):

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

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

Hiro will provide clickable hyperlinks to the specific sections that it is using to extract the information you requested:

 

You can also screenshot specific sections of the document when asking questions using the Hiro Chat feature:

 

Analysis

This section provides a quick summary of the document by including the overall theme, key findings. methodology, and impact:

 

Mind Map

This section converts the document's content into a Mind Map that shows how the ideas are related. You can collapse and expand the nodes as well:

 

Entity, Table, Figure, Structure

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

  • Layout model detects and extracts tables, figures, and structures

 

Current Limitations

  • Only retrieves results within the uploaded document(s), i.e. it does not search through other databases or public domain

  • Best suited for standard and structured documents, including patent, FDA labels, and financial prospectuses in PDF, word and image format

    • PowerPoints are converted to PDF which may impact the extraction capabilities. ​​

  • Cannot save or annotate documents in-app

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

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