Undermind – AI Co-Researcher for Scientific Literature & Citation-Aware Search

#Quasa #QUA #Undermind

Undermind is an AI co-researcher for scientific literature. You describe a research question in natural language; the system asks follow-ups, then iteratively searches and evaluates hundreds of papers across a corpus of more than 200 million articles, following citation trails and ranking results by relevance. It generates reports with inline citations you can verify, extracts details into tables, and supports full-text analysis on paid plans. Additional features include workspaces and paper libraries, alerts for new relevant papers, and agent connections. Free access covers core deep search with standard limits. Pro is about $16 a month for academics (or $60 for industry) with higher limits, latest models, and full-text reading. Team and Enterprise add management and security options. The company was founded by MIT quantum-physics PhDs and is used by researchers at GSK and many institutions.

𝐂𝗢𝗥𝗘 𝗦𝗧𝗥𝗘𝗡𝗚𝗧𝗛𝗦
• Iterative deep search that follows citation trails
• Verifiable inline citations in reports
• Relevance scoring and filtering
• Full-text analysis on paid tiers
• Alerts for new papers on your topics  

𝗜𝗗𝗘𝗔𝗟 𝗙𝗢𝗥
Academic and industry researchers who need thorough literature coverage beyond keyword search.

𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦
• 200M+ paper corpus
• Custom tables and deeper follow-up exploration
• Shared workspaces
• Strong reported gains versus traditional search
• Academic and industry pricing tiers  

𝗣𝗢𝗧𝗘𝗡𝗧𝗜𝗔𝗟 𝗖𝗢𝗡𝗦𝗜𝗗𝗘𝗥𝗔𝗧𝗜𝗢𝗡𝗦
• Industry pricing is significantly higher than academic
• Free tier has rate limits
• Quality depends on how clearly the question is framed
• Not a replacement for reading key papers yourself
• Coverage varies by field and open-access availability  

𝗢𝗩𝗘𝗥𝗔𝗟𝗟 𝗩𝗘𝗥𝗗𝗜𝗖𝗧
4.3/5 stars. Use Undermind when you want a broader, citation-aware starting point than a standard database search. Confirm full-text access and limits for your use case. Earn 1 QUA reward by reviewing on Quasa.io too!

𝗚𝗘𝗧 𝗦𝗧𝗔𝗥𝗧𝗘𝗗: https://quasa.io/projects/undermind