Undermind

What is Undermind and who sells it?

Undermind calls itself "your AI co-researcher". It says it reads and evaluates hundreds of papers and follows citation trails, then delivers iterative reports and alerts (Undermind website, October 2026). The company was founded in 2023, is based in San Francisco and was part of the Y Combinator Summer 2024 batch. The founders are Josh Ramette (CEO) and Tom Hartke (CTO), both described in a third-party profile as MIT quantum physics PhDs. Funding is about $500K from Y Combinator, FundersClub and Pioneer Fund in September 2024 (Crunchbase, Tracxn). Latka estimates 2025 annual recurring revenue at about $440K.

What does it do?

The core feature is deep search with citation tracing. Around it sit a "Verify responses" option that links claims to the source paper, relevance gauging, saved alerts, custom tables and workspaces. Undermind also offers an MCP connection so that Claude or ChatGPT can call it (Undermind website and MCP page, October 2026). Enterprise adds site-wide login and an admin dashboard.

The vendor claims its search recalls 85% of the 20 most relevant papers within 10 minutes, against 38% to 50% for frontier agents using web search. That benchmark covers 23 complex queries with a gold standard built by an LLM judge, and Undermind ran it itself. A whitepaper claims version 1 gave "10x better results than Google Scholar", also a vendor statement. On the customer side, Undermind says more than 1,000 GSK scientists use it (Undermind case study).

What does independent evidence say?

Little has been published, and none of it is a controlled comparison. A product review in the Journal of the Canadian Health Libraries Association reportedly called the search strategies "not reportable, transparent, or reproducible" and noted that the tool lacks MeSH integration. In an informal test, Aaron Tay found 8 of 11 gold-standard papers in the top 10 results (Substack). Secondary reviews list slower results than keyword search, coverage that depends on database access and a smaller user community (buildfastwithai.com).

A BMC Nephrology meta-analysis of finerenone in diabetic kidney disease (PMID 41272492) lists Undermind as one of its search sources. It used the tool as a search source and did not evaluate it.

How much does Undermind cost?

Pro costs $16 per month billed annually and Team $15 per person per month billed annually. A free tier has standard rate limits, and Enterprise is priced on request (Undermind pricing page, October 2026). The pricing page has a monthly toggle but lists no monthly Pro price.

How does it compare?

Elicit, Consensus, Scite, SciSpace, Semantic Scholar, Connected Papers, ResearchRabbit and Litmaps cover similar ground. A Casrai guide describes Undermind as an adaptive deep search aimed at recall, a different job from tools that return a quick synthesis of a focused question.

Can patient information go into Undermind?

No. HIPAA, a BAA, SOC 2 and HITRUST are not mentioned on its pages, and no trust page is listed. Undermind is not a medical device.

The verdict

Use Undermind for a scoping search on a topic where a missed paper would hurt, and test it first on a field you know well, where you can see what it misses. Its recall numbers come from the vendor's own benchmark. A team running a registered systematic review should leave it out of the methods section.