Undermind

Undermind is an AI-powered research assistant designed to condense weeks of scientific literature review into minutes. Built for researchers across academia and industry, it autonomously reads and evaluates thousands of papers, adapts its search strategy recursively, and traverses full citation graphs to deliver precisely relevant insights on even the most complex or niche research topics.

Founded by two quantum physics PhDs from MIT and backed by Y Combinator, Undermind is trusted by researchers at leading institutions and organisations including MIT, GSK, Koch Institute, Northeastern University, Actipulse Neuroscience, and Engage Bio. The platform is designed to mirror the structured search process of a human expert, using the latest language models for in-depth reasoning at key steps — delivering results described as 10x better than Google Scholar.

Core Search Capabilities

• Reads and carefully evaluates thousands of papers for relevance to a user's unique research question
• Adapts its search strategy recursively, learning and updating its knowledge as it explores the literature
• Traverses the full citation graph to uncover comprehensive coverage of a topic
• Analyses full texts (where available) in addition to abstracts, as well as timelines and categories
• Delivers results faster than a human researcher while maintaining thoroughness

Key Features

• Generate insights: Brainstorm with an AI expert that has read the relevant literature, and generate custom tables to support your research
• Verify responses: Trace any statement by following in-line citations directly back to the source paper
• Gauge relevance: Quickly assess whether a paper is relevant to your specific question, with sorting and filtering options
• Stay up to date: Receive notifications whenever new relevant papers are published in your areas of interest
• Export references: Export reference lists for use in your own work (Pro and above)
• Extend searches: Expand the depth and breadth of a search beyond initial results

Research Use Cases

• Assess novelty instantly: Quickly determine whether an idea has already been explored or represents a genuinely new direction
• Scope complex topics: Rigorously assess niche research areas before committing time and resources
• Cross-disciplinary insights: Uncover connections between fields to inspire new approaches and methodologies
• Identify gaps in the literature: Pinpoint unanswered questions and emerging trends within a domain
• Solve research bottlenecks: Find relevant methods, datasets, and prior solutions to problems you are actively working on

How Undermind Works

1. Prepare: Chat with Undermind to explain and narrow down your research topic in all its complexity — the system is designed to understand nuanced and highly specific queries
2. Relax: Undermind conducts the research autonomously, with intelligent search that adapts, follows citation trails, and hones in on the most relevant content
3. Understand: Dive deeply into the results and engage with the relevant literature supported by a knowledgeable AI expert
4. Keep up: Undermind monitors your areas of interest and notifies you with important updates as new papers are published

Pricing Plans

• Free: Limited to 5 searches per month, limited results, abstract-only analysis, and limited report chats and summaries
• Pro ($16/month billed annually): Full access including the latest AI models, full-text analysis, timeline and category analysis, extended searches, reference export, and unlimited report chats
• Team ($15 per person/month billed annually): All Pro features plus team member management, priority customer support, and centralised billing
• Enterprise (custom pricing): All Team features plus increased compute, sitewide organisational login, onboarding seminars, admin dashboard, dedicated support, and custom terms, SLA, and security review

Undermind is available to both academic and industry users, with separate pricing tiers for each. The platform has been adopted at scale within large R&D organisations — notably with over 1,000 GSK scientists using the tool — and is described by GSK's SVP and Global Head of AI/ML as accelerating the pace of new medicine discovery and helping scientists identify the most promising research directions.