Welcome to Emergent Mind, a next-generation AI research assistant built to help scientists, engineers, and researchers accelerate discovery.
Emergent Mind brings together cutting-edge language models, large-scale academic data, and custom analysis tools to give you a deeper, faster understanding of the research landscape. Whether you're exploring a new field, staying ahead of emerging breakthroughs, or digging into the details of a specific paper, Emergent Mind helps you cut through noise and surface what matters.
Our platform continuously tracks arXiv, highlights influential and trending papers, extracts open problems, and provides concise, research-grounded summaries. With powerful search, intelligent question-answering over arXiv, and a growing suite of agentic tools, Emergent Mind acts as an extension of your own research workflow.
We believe the future of science is augmented, where human intuition and machine intelligence work together. Emergent Mind exists to make that future accessible to every curious mind.
Big thanks to arXiv for their commitment to open science and for making millions of preprints available for analysis, Microsoft for Startups for their generous support with Azure, and both OpenAlex and Semantic Scholar for providing citation data.
Team
Matt Mazur, Founder
Matt is a independent researcher and product engineer based in North Carolina. He previously was the data lead at Help Scout, an engineer at Automattic, and a captain in the US Air Force. He holds a bachelors degree in computer science from the US Air Force Academy.
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Vinay Prabhu, Advisor
Vinay is an SF-based AI researcher specializing in machine learning, dataset auditing, and stress-testing modern AI systems. He has published influential work on LLMs and dataset harms, released low-resource datasets including Kannada-MNIST and Afro-MNIST, and holds a PhD from Carnegie Mellon University.