Undermind GTM brain

Undermind provides an AI literature research agent for scientists and research organizations.

category

AI scientific literature search

market profile

  • text: Research teams need high recall on complex questions across large scientific literatures, with citations that can be checked.
  • text: AI literature search competes with specialist discovery and synthesis tools including Elicit, Scite and SciSpace.

personas

  • title: Pharma R&D scientist
    pains:
    • Missing relevant studies for a complex biological question
    • Reviewing full texts and figures across hundreds of papers
  • title: Academic principal investigator
    pains:
    • Time spent building a defensible literature review
    • Keeping a research group current as new papers appear
  • title: Research informatics or R&D leader
    pains:
    • Demonstrating search quality and adoption across research teams
    • Managing enterprise access and purchase decisions

icp

  • text: Pharmaceutical and biotech R&D organizations with literature-intensive discovery teams; the company cites GSK usage.
  • text: Universities and national laboratories with scientists conducting complex literature searches, from individual labs to large institutions.

message pillars

  • text: Position the product as purpose-built for research literature.
  • text: Differentiate on breadth of discovery, using the company's own benchmark claim.
  • text: Reduce citation trust concerns with verifiable references.
  • text: Support analysis beyond abstracts with full texts.

objections

  • objection: Can it find papers a generic AI search misses?
    response: Run the published benchmark methodology alongside a pilot on the team's own known literature set.
  • objection: Can we trust generated research summaries?
    response: Inspect the cited papers and figures directly; the product claims citation verification and full-text reading.
  • objection: Will this fit an institutional deployment?
    response: Discuss organization-specific access, security and terms with the enterprise team.

competitors

  • name: Elicit
    website: https://elicit.com
    why: AI-assisted scientific literature search and synthesis.
  • name: Scite
    website: https://scite.ai
    why: Research discovery and citation context for scientists.
  • name: SciSpace
    why: Literature search and AI-assisted understanding of papers.

influencers

  • name: Josh Ramette
    url: https://www.undermind.ai/
    why: CEO and coauthor of the GSK case study shown on the homepage.

keywords

  • AI scientific literature search
  • literature review AI
  • find relevant research papers
  • systematic literature search
  • AI research assistant
  • full text paper analysis

voice

  • scientific
  • evidence-led
  • direct

signals

  • text: A pharma team is expanding literature-heavy drug discovery or translational research.
  • text: Researchers need to connect literature discovery to ChatGPT or Claude workflows.

stack

  • ChatGPT integration
  • Claude integration

pricing

model: freemium

motion

hybrid

channels

  • SEO
  • LinkedIn
  • research institution referrals
  • case studies

confidence

high

Founders

  • name: Joshua Ramette
    title: Founder/CEO
    role: CEO
    bio: Josh is the co-founder and CEO at Undermind. He has research experience in gravitational-wave astrophysics (LIGO), particle physics (CERN), atomic physics, and quantum information science. He did his PhD at MIT studying quantum computing architecture design and inventing techniques for generating entangled multi-particle states using atom-light interactions, with 3 patents pending and 6 peer-reviewed publications.
  • name: Tom Hartke
    title: Founder/CTO
    role: CTO
    bio: Tom is the co-founder and CTO at Undermind. He studied physics at Princeton, then did his PhD in quantum physics at MIT. His thesis was recognized by the American Physical Society as one of the top 4 theses in the field of atomic physics in 2022, and he has published 10 papers in the field, including two in Nature and Science. Tom has deep expertise in building and deploying complex systems.

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