NNScholar武汉衔光智能科技有限公司
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moaramoara.io
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Related Products
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About
NNScholar is an AI-assisted academic research workspace for graduate students, faculty, and research teams. Its browser-based WebUse workspace supports literature discovery and screening, paper libraries, PDF reading and question answering, translation, evidence organization, and research planning. Users can search scholarly databases, filter and save candidate papers, organize references and PDFs, and review source-grounded notes. Document-writing tools help draft or revise manuscripts and DOCX files, match journal formats, ask questions about drafts, and review citations and consistency. Research agents, skills, browser access, and optional plugins extend workflows for study design, analysis, and journal-submission preparation. Free sign-up credits are available, with paid plans adding usage credits. Native macOS and Windows desktop downloads are not currently available; the browser workspace can be used now.
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About
Moara is an AI-powered research management platform that helps academics, scientists, and librarians streamline their literature review process. Designed around librarian-led best practices, it supports both narrative and systematic reviews through guided workflows and automation. Researchers can easily import papers from Zotero, citation files, or PDFs, accessing over 200 million publications to build a structured library. AI automatically extracts metadata, tags papers, and assists with triage, annotation, and evidence synthesis. Collaboration tools allow teams to assign papers, track progress, and comment in real time, ensuring efficiency and consistency. With Moara, researchers can conduct comprehensive, organized, and reproducible reviews faster than ever before.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Graduate students, faculty, academic researchers, and research teams working with scientific literature, PDFs, and DOCX manuscripts.
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Audience
Researchers, academic institutions, and librarians conducting systematic, scoping, or narrative literature reviews who want to save time, ensure reproducibility, and enhance collaboration through AI-assisted research workflows
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and VideosNo images available
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Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
$25/month
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company Information武汉衔光智能科技有限公司
China
www.nnscholar.com
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Company Informationmoara.io
Founded: 2024
United States
www.moara.io
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Integrations
Model Context Protocol (MCP)
Not Supported
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