Undermind

Undermind describes research problems, then conducts comprehensive literature review and synthesis. It aims to help researchers start broad, go deep, and build command of their field over time, by reading full texts and figures and citing sources. The tool is supporting scientists and researchers who need to understand large bodies of literature and extract actionable insights quickly.

Undermind works by describing a research question, then it asks clarifying questions, searches the literature, reads hundreds of papers, follows citation trails, and returns synthesized findings. It keeps users updated on relevant topics and can notify about new research, creating a loop that maintains ongoing awareness of targeted areas.

Its main capabilities include generating insights with an AI expert that has read the literature, verifying responses via inline citations, gauging sentence relevance, and staying up to date with new papers. It emphasizes collaboration on reports, deep analysis of full texts, and the ability to tailor results to specific questions.

Undermind supports plans and integrations across pricing tiers, scalable compute for enterprise use, and features such as API or programmatic access as part of larger AI ecosystems. It notes collaboration within teams, access to shared workspaces, and the ability to connect with agents like Claude and ChatGPT, with stated limits on usage and access across plans.

Use cases

• Integrate findings from the scientific literature with internal data as part of an AI strategy
• Support early research by ranking novel targets and surfacing evidence chains
• Provide information to aid clinical development and biomarker assessments
• Support toxicology reviews and niche literature analysis