Undermind

Undermind is a research tool leveraging cutting-edge AI to conduct academic research for users.

It meticulously analyzes numerous academic papers to extract the specific information requested, regardless of complexity.

Undermind goes beyond typical search engines by reimagining search as a careful, methodical process akin to human discovery. It examines results in stages, employing language models for key tasks such as identifying essential details and refining the search.

Undermind has been successfully applied to pinpoint solutions for intricate problems across fields like Quantum Computing, AI, and Information Science.

Users can describe their needs to Undermind with precision, similar to discussing with a colleague, regardless of the subject. The service is designed for intelligent adaptation.

Rather than simply listing search results, it adapts based on insights gleaned from reading numerous papers. It is also programmed to determine when it has located all pertinent information.

Future plans include incorporating full text discovery for tackling more complex discovery tasks. Undermind obtains its data from the Semantic Scholar database, which contains over 200 million articles from various sources.