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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Jenni
Jenni AI is an AI-powered research and academic writing platform designed to help researchers, students, and professionals read, write, organize, and cite academic content more efficiently. The platform combines AI-assisted writing, source-grounded autocomplete, citation management, and research discovery tools into one collaborative workspace built specifically for rigorous academic workflows. Jenni AI allows users to upload PDFs, import libraries from Zotero or Mendeley, search hundreds of millions of academic papers, and generate writing suggestions directly grounded in selected research sources. Every AI-generated claim can be traced back to the exact source paragraph or page, helping users verify information and reduce the risk of unsupported statements or hallucinations. The platform also includes AI chat across research libraries, literature review support, citation generation in over 2,600 styles, collaborative editing, and peer-review analysis tools.
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Atlas Workspace
Atlas Workspace brings your research sources, notes, visual maps, and AI conversations into one workspace. Open a paper’s Knowledge Map to understand its structure and trace an answer back to the exact passage. Explore connections across your project on a Semantic Map, ask questions across your library, and save cited results. Search the wider research literature and add relevant sources to your project. Atlas supports PDFs, websites, YouTube videos, and notes, with a free plan and paid Pro subscription.
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ScholarIQ
ScholarIQ is a web-based AI research assistant for searching and reviewing scientific literature. Researchers can pose a question, search records from OpenAlex, ORCID and PubMed, or upload search results and source documents. The platform ranks articles against review criteria, supports citation-based snowball discovery, and helps users screen records, highlight relevant passages, and extract specified information from uploaded texts. Answers and suggested values link to cited sources, while reviewers retain control of inclusion decisions, risk-of-bias judgments, and conclusions. ScholarIQ records reviewer identity, decision rationale, and supporting passages to make review work traceable. It also provides a public research metadata atlas linking papers, researchers, journals, institutions, and topics. It serves individual researchers and review teams doing literature searches, evidence screening, and systematic reviews.
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