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An AI agent for scientific research
Undermind has raised $500K across 1 funding round.
Key people at Undermind.
Undermind was founded in 2023 by Tom Hartke (Founder) and Joshua Ramette (Founder).
Undermind has raised $500K in total across 1 funding round.
At Undermind, we're building a search engine that can handle extremely complex questions. It’s geared at experts, like research scientists and doctors, who need to find very specific resources to solve high-stakes problems.
We’ve rebuilt search from the ground up to address this. Our new approach employs high-quality LLMs to adaptively explore a database, mimicking how a human researcher carefully discovers information. This approach dramatically outperforms (by 10-50x) traditional keyword search and other modern AI-based retrieval methods.
Our first target users are the 50 million researchers searching for scientific literature on PubMed and Google Scholar every month. We’ve have paying users across fields like medicine, ML, biotech, finance, and more.
Undermind was founded in 2023 by Tom Hartke (Founder) and Joshua Ramette (Founder).
Undermind has raised $500K in total across 1 funding round.
Undermind's investors include Pioneer Fund, Y Combinator.
Key people at Undermind.
Undermind is an AI-powered research assistant designed to radically improve scientific literature search by autonomously reading and analyzing hundreds of papers to deliver precisely relevant insights for complex research questions. It outperforms traditional search engines like Google Scholar or PubMed by 10-50x in relevance and depth, enabling researchers to find critical information much faster and more comprehensively. The product serves scientific researchers, academics, and experts who need to navigate vast, complex bodies of literature to solve high-stakes problems, accelerating discovery and reducing months of manual search effort.
Founded by researchers themselves, Undermind builds an AI agent that mimics a human researcher's iterative discovery process, adapting dynamically to uncover all relevant content, including citation trails. This approach helps users assess novelty, identify gaps, and cross disciplinary boundaries, making it a powerful tool for improving research efficiency and impact.
Undermind was founded by Joshua Ramette and Tom Hartke, two quantum physics PhDs from MIT with deep research experience. Their firsthand frustration with the inefficiency of existing scientific search tools inspired them to build a system that could handle extremely complex queries and deliver comprehensive, relevant results quickly. The company emerged from their desire to save researchers from spending months sifting through irrelevant papers and to accelerate scientific progress.
The startup launched with backing from Y Combinator and has evolved its AI-driven search technology to incorporate large language models and sophisticated algorithms that simulate human search behavior, including successive keyword, semantic, and citation searches. Early traction includes adoption by thousands of researchers who rely on Undermind to unlock deep insights and improve research workflows.
Undermind rides the wave of AI-driven transformation in scientific research, addressing a critical bottleneck: the overwhelming volume and complexity of scientific literature. As research output grows exponentially, traditional search tools fail to keep pace, especially for complex, nuanced queries. Undermind’s timing is ideal, leveraging advances in large language models and semantic search to meet this urgent need.
Market forces favor AI tools that enhance productivity and innovation in academia, biotech, pharmaceuticals, and other R&D-intensive sectors. By accelerating literature discovery and reducing redundant effort, Undermind influences the broader ecosystem by enabling faster scientific breakthroughs, fostering interdisciplinary collaboration, and potentially reshaping how research is conducted globally.
Looking ahead, Undermind is poised to deepen its AI capabilities, possibly integrating more advanced LLMs and expanding its dataset coverage beyond Semantic Scholar. Trends such as increasing AI adoption in research, demand for cross-disciplinary insights, and the push for open science will shape its trajectory.
Its influence may grow beyond academia into industry R&D, helping companies innovate faster. As the platform matures, it could become an indispensable tool for researchers worldwide, fundamentally changing how scientific knowledge is discovered and applied—fulfilling its mission to accelerate science and improve research outcomes for all.
Undermind has raised $500K across 1 funding round. Most recently, it raised $500K Seed in September 2024.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Sep 1, 2024 | $500K Seed | Pioneer Fund, Y Combinator |
