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Description
NNScholar serves as a cutting-edge AI-driven academic research platform tailored for graduate students, faculty, and research groups. This online workspace enables users to efficiently discover and screen literature, manage paper libraries, read PDFs, answer questions, translate content, organize evidence, and strategize their research. Users have the ability to explore scholarly databases, filter through and save potential papers, sort references and PDFs, and review notes grounded in their sources. The platform also includes document-writing tools that assist in drafting or revising manuscripts and DOCX files, aligning with journal formatting requirements, posing inquiries about drafts, and ensuring proper citation and consistency. Furthermore, research agents, specialized skills, browser capabilities, and optional plugins enhance workflows related to study design, data analysis, and preparation for journal submissions. Users can start with free sign-up credits, while paid plans provide additional usage credits for more extensive access. Although native desktop applications for macOS and Windows are not yet available, the browser-based workspace offers immediate functionality for researchers. As academic needs evolve, this platform is likely to adapt and expand its features to better serve its users.
Description
Moara transforms how researchers organize, review, and synthesize academic literature by combining intuitive workflows with advanced AI assistance. Built by librarians and researchers, it guides users through every phase of a systematic or narrative review, from paper collection to synthesis. Users can import citations and PDFs, integrate with Zotero and LibKey, and automatically extract metadata from millions of scholarly sources. Moara’s AI tools simplify triage, tagging, inclusion/exclusion decisions, and even assist in capturing and organizing key findings from full-text articles. Its collaborative workspace allows multiple reviewers to work simultaneously, assigning roles and tracking review progress in real time. Researchers can annotate PDFs, highlight evidence, and transform insights into structured data for synthesis and reporting. The platform also ensures data consistency and transparency, following librarian-recommended standards for reproducible research. With its user-friendly interface and robust integrations, Moara helps scholars save hours of manual work and elevate the quality of their academic output.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Screenshots View All
No images available
Integrations
Model Context Protocol (MCP)
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$25/month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
武汉衔光智能科技有限公司
Country
China
Website
www.nnscholar.com
Vendor Details
Company Name
moara.io
Founded
2024
Country
United States
Website
www.moara.io