AI research platform for biotech teams

Turn weeks of reading into minutes.

extracted.space gives biotech teams instant, evidence-based answers and reveals hidden links across drugs, genes, and diseases.

Request early access

See a deep research run

Ask a question and extracted.space searches published literature and the documents your team uploaded, writes a cited research report, and maps the relationships it finds into a knowledge graph.

Replay of a prepared run, sped up
Deep research

Searching published literature and

    Run the research to see the report. In the product a deep research run takes a few minutes.

    Expand graph

    The graph builds as sources are read.

    • Drug
    • Gene or protein
    • Biological process
    • Adverse effect
    • Disease
    • From your library

    Explore the full graph

    Every run adds to a knowledge graph you can explore. Filter by relation type and source, zoom in, and open any entity to see the statements behind its links.

    Drag to pan. Pinch or Ctrl + scroll to zoom.

    Every statement, referenced

    Each statement in a report carries its own references. Click any reference to see the exact sentence from each source that the statement rests on.

    Ask a question, get a sourced answer

    “What drugs target the mTOR pathway?” Get a response synthesized from thousands of relevant papers, with direct citations and a map of how the findings connect.

    See connections across the literature

    Cause-and-effect relationships are extracted from papers and joined into one knowledge graph, so links between drugs, genes, and diseases show up even when no single paper states them.

    Every answer traces to a paper

    Each statement links to the original research. If the literature doesn't support a claim, it isn't in the answer.

    Start with the questions your team is already asking

    We're onboarding a small number of biotech teams. Tell us who you are and we'll get in touch.

    Request early access