Elicit
Automate time-consuming research tasks like summarizing papers, extracting data, and synthesizing your findings. Ask a research question and get back a list of relevant papers from our database of 200 million. Get one-sentence abstract summaries. Select relevant papers and search for more like them. Extract details from papers into an organized table. Get a list of the things you’re looking for, synthesized from many papers. Find themes and concepts across all the papers. Extract details from papers at 50% of the time and cost of doing it manually. Search across 200 million academic papers using natural language. Search papers, extract data, and summarize concepts. Custom workflows and data sources. Elicit uses language models to extract data from and summarize research papers. As a new technology, language models sometimes make up inaccurate answers. We fine-tune our models on a per-task basis and constantly iterate to make them more accurate.
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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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PapersFlow
PapersFlow is an AI research workspace designed to help academics and researchers organize, analyze, and write scientific content within a single integrated environment. It enables users to manage paper libraries using projects, collections, and tags while running AI-powered reading workflows that generate summaries and answer questions about each paper. It supports deep literature review processes through its DeepScan capability, allowing researchers to synthesize findings across multiple sources and uncover connections more efficiently. PapersFlow also includes collaborative LaTeX writing with real-time preview so users can move seamlessly from reading papers to drafting manuscripts without switching tools. Additional capabilities such as cross-paper comparison, linked knowledge-base notes, and code discovery from research papers help streamline complex academic workflows.
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Sciscoper
Sciscoper is an AI powered research assistant that is used to streamline and accelerate the literature review process for STEM researchers, academics, and R&D teams. Researchers often deal with hundreds or thousands of scientific papers scattered across different sources, making it difficult to extract meaningful insights efficiently.
Sciscoper solves this by using AI and natural language processing to automatically:
Summarize scientific papers and research findings.
Extract key insights, concepts, and relationships across documents.
Generate literature reviews with citations in multiple reference styles.
Organize and index papers into a structured, searchable knowledge base for easy discovery.
This allows users to focus less on manual reading and note-taking, and more on analyzing results, identifying research gaps, and producing new scientific knowledge.
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