Undermind Information

Undermind is the AI literature layer for R&D. Start today in our app, or connect it to ChatGPT, Claude, Copilot or your company's internal AI agents. R&D programs get funded on what the literature says. Too often, the paper that would have changed the call is the one nobody found. Our founders, Joshua Ramette and Tom Hartke, lived this during their PhDs at MIT, where they got burned more than once by papers they found months too late. When large language models arrived, it was clear they'd change how scientists keep up with the literature, but they skipped the careful search. So Josh and Tom built Undermind to do it. Today Undermind is used by thousands of institutions like Novartis, Mayo Clinic, Harvard Medical School and the NIH. It's built for R&D teams in pharma, biotech, chemicals and crop science, who use it to: - Check whether an idea was already tried, already failed, or is actually new - Catch the papers keyword and Boolean searches miss - Finish literature reviews in hours instead of weeks It searches the way a careful expert would: it asks what you need, reads the papers, follows the citations, and keeps going until new searches turn up nothing relevant. In our benchmark across 23 research questions, Undermind found 85% of the 20 most relevant papers for each. GPT and Claude with web search found about half. That gap is why AI and data teams connect Undermind to their internal agents through our MCP server, so the agents work from ranked, cited papers. Learn more or book a demo: undermind.ai/enterprise