CiteDash
CiteDash is an AI-powered research and writing platform designed to streamline the entire academic workflow by combining source discovery, analysis, drafting, and citation into a single system. It enables users to enter a research topic, essay prompt, or question, after which a multi-agent pipeline automatically searches across numerous academic databases, including sources like Semantic Scholar, PubMed, and OpenAlex, to identify, evaluate, and synthesize relevant literature into a structured draft with inline citations. It emphasizes accuracy and credibility by grounding every claim in verifiable academic sources, avoiding hallucinated references, and ensuring that outputs are traceable to real studies. CiteDash supports a wide range of academic tasks, including essay writing, research papers, literature reviews, and exam preparation, offering tools such as AI-generated notes, structured outlines, and active recall question generation to reinforce learning.
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IntelliResearch
IntelliResearch is an all-in-one AI research assistant that turns a single query into a complete research workflow. From one search it runs multiple specialized agents in parallel: paper discovery across arXiv, Semantic Scholar, OpenAlex, Crossref, PubMed and DBLP together; an AI literature review synthesized only from the retrieved papers, with every claim cited to its source; a comparative analysis table; research gap analysis; and a proposal generator that exports a formatted PDF. It also finds datasets, code implementations, patents, conferences and calls for papers with deadlines, and grants (NSF, NIH). Additional tools include a citation knowledge graph, a chat-with-your-PDF reader, saved collections, one-click translation, and email alerts for topics you monitor. Built for researchers who want to spend time thinking, not juggling eight browser tabs.
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Connected Papers
Connected Papers is a visual tool designed to assist researchers and applied scientists in discovering and exploring academic papers pertinent to their field of work. By inputting a "seed paper," users can generate a graph that displays related papers based on a similarity metric derived from co-citation and bibliographic coupling analyses. This approach allows for the identification of relevant literature, even when direct citations are absent. The resulting graph provides a visual overview of the research landscape, highlighting seminal works and potential areas for further exploration. Connected Papers aims to streamline the literature review process, making it more efficient and comprehensive for researchers.
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Crescis
Crescis is an AI powered research assistant that creates citation ready literature reviews from either your uploaded PDFs or AI powered searches across millions of scholarly articles. It retrieves relevant open-access papers, summarizes complex research into clear insights, and organizes sources into collections. Generate flawless citations in APA, MLA, Chicago, and more, then compile your findings into ready to edit literature review drafts. By combining search, retrieval, summarization, organization, and citation into one platform, Crescis helps students, researchers, and professionals turn scattered sources into polished academic writing, faster, easier, and more accurately than ever.
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