Undermind uses AI to automate scientific literature discovery, letting researchers describe their topic and then delivering comprehensive, citation‑backed reports that include both obvious and obscure papers found through deep citation tracing. The platform continuously monitors selected topics, sends real‑time updates, and offers collaborative tools for teams while ensuring enterprise‑grade security and data ownership.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Researchers often spend extensive time manually searching, reading, and cross‑referencing scientific papers, missing relevant studies hidden deep in citation networks and struggling to keep up with new publications in their field.
Solution
Undermind automates literature discovery by using advanced AI models to ingest and evaluate hundreds of papers, following citation trails to surface both obvious and obscure sources. Users start by describing their research topic, after which the system asks clarifying questions, conducts deep searches, and generates structured reports with in‑line citations that can be traced back to the original documents. The platform continuously monitors selected topics and notifies users of important new findings, enabling ongoing, up‑to‑date knowledge. Collaboration features let teams share projects, libraries, and extracted data while maintaining strict enterprise‑grade security and data ownership.
Target Audience
Primary customers are academic researchers, R&D teams in industry, and scientific consultants who need efficient, comprehensive literature reviews and ongoing monitoring of technical publications.
Features
- Interactive workflow that begins with a user‑provided description and AI‑driven follow‑up questions to refine the search scope
- Automated deep literature search that reads, evaluates, and follows citation chains across hundreds of papers
- Generated reports with verifiable in‑line citations, allowing users to trace any statement back to its source
- Full‑text analysis and extraction of key details from papers, supporting iterative refinement of insights
- Continuous monitoring of user‑defined topics with real‑time update notifications
- Team collaboration tools including shared projects, libraries, and centralized billing
- Enterprise‑grade encryption, data isolation, and a policy that prevents user data from being used to train external AI models