platoseed
AI Search Engine for Academic Research
Get answers to research questions with citations from the academic literature.
Epsilon is an AI search engine designed for scientific research, enabling users to search over a large academic corpus, generate summaries with inline citations, and synthesize insights across multiple papers. It provides tools to find publications and patents, extract information from multiple sources, and build organized libraries for literature reviews and meta-analyses.
Users enter research questions and Epsilon searches over a dataset of more than 200 million papers, returning the top 100 related papers. It generates a ChatGPT-like summary with inline citations to underlying sources. The platform allows saving papers to a library, organizing libraries, and running cross-library searches to synthesize results. It can extract information from multiple papers for meta-analyses, group results into latest research and most relevant articles, and provides access to publications and patents directly from results. The system leverages Semantic Scholar data and uses GPT-4 to produce summaries while maintaining citation-based trust.
Who itβs for: Researchers and academics conducting literature reviews, meta-analyses, grant writing, and evidence synthesis across scientific disciplines
Website shows product shutdown date (April 30, 2026), indicating nearing end-of-life; mentions adoption by researchers and ongoing blog/updates, suggesting active user traction prior to shutdown
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Get answers to research questions with citations to academic literature
Epsilon offers a tool for researchers that returns answers to research questions with citations from academic literature. It targets industry and academia, aiming to streamline brainstorming, paper summarization, and targeted reading by integrating up-to-date, peer-reviewed sources.
From the original launch (Sep 2023) β may be outdated.
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