Learning (16)
Undermind
AI co-researcher for scientific literature: deep paper search, full-text reading, evidence review and cited write-ups. Free plan available.
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Starting price Free; Pro $16/mo billed annually; Team $15/person/mo billed annually; Enterprise custom (checked 14 Nov 2026)
Tool Information
Undermind is an AI research assistant built for scientific literature. Its official site describes it as an AI co-researcher that finds papers other tools miss, reads full texts and figures, and cites every source, building a living library as you research. The company says it was started by two MIT quantum physics PhDs and is backed by Y Combinator.What problem it solves: a thorough literature review means searching many databases, screening thousands of papers and reading PDFs. Undermind runs a deep search, ranks what is relevant and helps you read and write from the results.What you can do (from the official site):
- Deep literature search: it reviews thousands of papers and brings the relevant ones into your workspace with a match score, year and citations per year. A search takes a few minutes, and the example on the site found 57 relevant papers and read 40 PDFs.
- Evidence quality review of the papers found.
- Full-text paper library: it fetches open-access PDFs, you can upload the rest, and an AI agent can read them all, including figures.
- Tailored writing: the agent drafts a research write-up where, the site says, every citation is verified.
- Monitoring: turn on alerts for future publications on a topic.
- Ask questions about the full text of the papers, and connect your own agents such as Claude or ChatGPT.
- Shared workspaces for collaboration.Vendor claims to read carefully: the site states Undermind finds twice as many relevant papers as AI web search and publishes its own benchmark and white paper. These figures come from Undermind, not from an independent test.Who it suits: scientists, graduate students, R&D teams and anyone doing deep, technical literature reviews. The site cites use by GSK scientists and by scientists at U.S. Department of Energy national labs.Pricing (undermind.ai pricing section, checked 14 November 2026): Free at $0 with standard rate limits for chats and searches. Pro at $16 per month billed annually (the site says annual saves 20%), with the latest models, deepest full-text analysis, 10x higher usage limits and unlimited workspaces and files. Team at $15 per person per month billed annually, shown for 5 seats, adding team management, priority support and centralized billing. Enterprise is custom with sitewide login, admin dashboard and custom terms. The page has Industry and Academic tabs that showed the same prices when we checked. The site does not state a monthly-billing price; it only says annual billing saves 20%.Security (per the site): encryption in transit and at rest, proprietary data is never used to train AI models, and you own your inputs and outputs.This page is based on the public Undermind website. We have not tested the tool hands-on, so check the official site for current features, limits and terms, and always verify citations before publishing research.
F.A.Q (9)
Undermind is an AI research assistant for scientific literature. It runs deep searches over papers, reads full texts and figures, reviews evidence quality and drafts write-ups with cited sources, according to its official site.
Yes, there is a Free plan at $0 with standard rate limits on chats and searches. Pro starts at $16 per month billed annually and gives 10x higher usage limits. Checked 14 November 2026.
The pricing section lists Free at $0, Pro at $16 per month billed annually, Team at $15 per person per month billed annually, and custom Enterprise pricing. The site does not state a monthly-billing price; it only says annual billing saves 20%.
The site's FAQ says a typical search finishes in about 2 minutes, and its homepage cites about 2.5 minutes on average, because Undermind scans hundreds of papers and adapts its strategy as it learns about your topic. Its example shows a deep search that found 57 relevant papers and then read 40 PDFs.
The site's FAQ says it covers all fields of science using the Semantic Scholar database of over 200 million articles, which includes PubMed, arXiv and many other sources. It also notes that a very specific paper may be missing from that database.
Yes. The site says it fetches open-access PDFs, lets you upload others, and has an agent read them, including figures. Always check key details against the original paper.
The site lists connecting your own agents such as Claude and ChatGPT on the Free plan and shows Add to ChatGPT and Add to Claude options. Its FAQ says Undermind provides an MCP server for connecting the assistants and coding agents you already use.
The enterprise section says proprietary R&D data is isolated and never used to train AI models, and that you own your inputs and outputs. Read the privacy policy for details that apply to your plan.
Undermind says it finds twice as many relevant papers as AI web search and publishes a benchmark and white paper. That is a vendor claim, so test it on your own topic before relying on it.
Pros and Cons
Pros
- Deep literature search that reviews thousands of papers
- Reads full-text PDFs and figures
- Verified citations in research write-ups
- Free plan to start
- Connects with Claude and ChatGPT agents
- Enterprise data is not used to train AI models per the site
Cons
- A search takes a few minutes
- Accuracy claims such as finding twice as many papers come from the vendor
- Free plan has standard rate limits with higher limits on paid plans
- Built for scientific literature rather than general web research
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