Guided research intake
Users start by describing the research question in natural language. Undermind then asks follow-up questions to narrow the task before searching.
Undermind is an AI co-researcher for scientific literature search and synthesis. It helps researchers explore papers, verify claims with citations, and monitor new work over time.
Undermind is an AI co-researcher for scientific literature search and review. It is designed to help researchers start with a broad question, explore the literature in depth, and build a living library of relevant papers as they work.
The product’s workflow centers on describing a research topic, letting Undermind ask follow-up questions, searching across papers and citation trails, and then iterating on reports with full-text review and source-linked answers. The site positions it for individual researchers as well as teams that need literature synthesis, monitoring, and evidence-backed research support.
Users start by describing the research question in natural language. Undermind then asks follow-up questions to narrow the task before searching.
Undermind searches literature broadly, reads and evaluates hundreds of papers, and follows citation trails to find related work that may not appear in an initial query.
The product supports iterative report work, full-text review, and detail extraction so users can keep refining their understanding as they go.
Inline citations let users trace claims back to source papers, which makes it easier to verify statements and inspect the evidence behind a response.
Users can save areas of interest and receive updates when relevant papers are published, supporting ongoing monitoring rather than one-off searches.
The enterprise offering includes a browser-based web app, an API, and custom builds for organizations that need broader deployment.
Use Undermind when you need to test whether an idea has already been explored, understand the surrounding literature, and decide whether a project is novel enough to pursue.
Use it for niche or multi-step topics where relevance is hard to judge from search results alone, and you need follow-up exploration across papers and citation trails.
Use it to uncover connections between adjacent fields by starting broad, then drilling into full texts and related citations for methods, findings, and context.
Use it to locate prior methods, datasets, or earlier solutions when you are blocked on a specific technical or scientific problem.
Use the monitoring workflow to stay aware of new publications in a topic area without rerunning the same search from scratch.
Undermind is built for literature research in the scientific record. The source material describes it as an AI co-researcher that helps users describe a question, search the literature, iterate on reports, and stay updated on new papers.
The site says Undermind asks follow-up questions, searches broadly, reads full texts, follows citation trails, and then lets you refine reports and dive deeper into sources.
The pricing page lists Free, Pro, Team, and Enterprise options. Free is available for exploratory research, Pro and Team are billed annually, and Enterprise uses custom pricing with sales contact.
The homepage FAQ only lists questions about databases, runtime, full texts versus abstracts, differentiation, missed papers, and the product name. The source does not provide detailed written answers for those items, so the exact database list and technical coverage should be confirmed directly with the company.
The enterprise page describes a browser-based web app, an API for programmatic queries and batch processing, and a custom AI research platform that can integrate external and internal data sources. The source does not list specific third-party integrations by name.