Resea.AI
Resea AI is a full-featured academic research assistant that autonomously plans, conducts, and writes in-depth academic tasks from literature review to report drafting. It connects seamlessly with major scholarly databases such as Google Scholar, PubMed, and arXiv to source trusted research, then employs its proprietary “Think and Research” engine to determine research direction, core concepts, and writing angles through multi-stage inquiry. Feeding into its AI writing editor, Resea AI is capable of generating documents of unlimited length (even up to 50,000 words), and offers interactive editing for fast refinements. It ensures academic rigor through support for dozens of citation formats with accurate source indexing. It evaluates performance with benchmarks like xBench‑DeepSearch that measure deep research capabilities. Additional use cases include systematic literature reviews, academic outlines, content synthesis, reviewer-perspective feedback, and more.
Learn more
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.
Learn more
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.
Learn more
scienceOS
scienceOS is an AI-powered research platform built to accelerate scientific literature workflows by giving researchers fast, reliable access to a massive database, more than 225 million research papers via a chat-based interface. The core “AI science chat” lets you ask questions, get answers grounded in published literature, and even generate tables or diagrams summarizing findings. If you upload PDFs, the “multi-PDF chat” can parse up to eight documents per session and extract key passages, figures, and tables to help you digest papers quickly; it can also generate structured summaries of papers (e.g., intro, methods, conclusions), highlighting main findings, limitations, and key data. Alongside that, scienceOS includes an AI reference manager; you can store and organize up to 4,000 PDFs or citations in a personal or shared library, import external references (e.g., from Zotero), and chat with your own collection, useful for drafting literature reviews and building bibliographies.
Learn more
