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ResearchUndermind

Undermind

AI deep-research agent that finds every relevant paper on a scientific question.

Categories
ResearchScience
Pricing
FREEMIUM
Hosting
Cloud
Platforms
Web
Models
Multi-model
Verified
Jun 8, 2026

A research-discovery platform that takes a natural-language question and autonomously searches, reads, and evaluates hundreds of academic papers — following citation trails and explaining each result's relevance, mimicking how an expert runs a literature review. Built by MIT quantum-physics PhDs and backed by Y Combinator; used by researchers at MIT, Harvard, and Caltech.

Capabilities 5

What it actually does — grouped by capability family.

  • Cited answers (secondary capability)
  • Literature review (primary capability)
  • Web research agent (primary capability)
  • Literature search (secondary capability)
  • Structured extraction (secondary capability)

Used in 1 recipe

Pros & cons

  • Exhaustive citation-trail search
  • Explains each result's relevance
  • Built by domain-PhD founders
  • Free tier with a few deep searches
  • Slow — minutes per query
  • Limited deep searches per tier
  • Web-only, no API/extraction tables
  • Narrow scope vs general assistants

Tags

View all Research
  • View Elicit details
    ResearchFREEMIUM

    Elicit

    Elicit (formerly Ought)

    AI research assistant for literature review and evidence synthesis.

    Searches, summarizes, and extracts structured data across 125M+ academic papers, with sentence-level citations. Goes beyond chat-over-papers with a guided systematic-review workflow covering search, screening, extraction, and report synthesis. A free Basic plan offers unlimited search and summaries; paid tiers add data-extraction volume and the review pipeline.

    Search, screen, extract, synthesize in one flow
    No PICO framework or Boolean operators
    • research
    • literature-review
    • systematic-review
    • citations
  • View Consensus details
    ResearchFREEMIUM

    Consensus

    Consensus

    AI search over peer-reviewed research papers, with inline citations.

    An academic search engine that runs natural-language questions against a corpus of more than 200 million peer-reviewed papers and synthesizes the findings with inline citations. Its Consensus Meter aggregates how much the studies agree or disagree, and a copilot helps draft literature reviews. Aimed at researchers, students, and clinicians.

    200M+ peer-reviewed corpus
    Best answers behind paid tier
    • research
    • academic-search
    • citations
    • literature-review
  • View SciSpace details
    ResearchFREEMIUM

    SciSpace

    SciSpace

    AI research assistant: search, read, and review the literature.

    AI workspace for academics that searches a corpus of 280M+ papers, runs literature reviews, and answers questions over PDFs with citations. Adds writing aids like a paraphraser and citation generator, plus an agentic 'Deep Review' literature search introduced in 2025. Free Basic tier with paid upgrades.

    280M+ paper corpus
    Undisclosed underlying models
    • research
    • literature-review
    • papers
    • citations
    • +1
  • View Scite details
    ResearchFREEMIUM

    Scite

    Scite (a Research Solutions company)

    AI research assistant built on citation-context Smart Citations.

    Scite helps researchers find and evaluate scientific literature using Smart Citations — citations classified by whether they support, contrast, or simply mention a paper's claims. Beyond search, its AI Assistant answers research questions with grounded, cited references, and reliability dashboards flag retracted or heavily disputed work. Available on the web and via browser and reference-manager plugins.

    Supporting/contrasting citation context
    Citation-context focus, narrower search
    • research
    • citations
    • academic-search
    • literature-review