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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
Sciscoper is an AI-driven research assistant designed to enhance and expedite the literature review process for professionals in STEM fields, including researchers, academics, and R&D teams. Given the challenge researchers face with managing extensive collections of scientific papers from various sources, extracting valuable insights can often become a cumbersome task.
To address this issue, Sciscoper leverages AI and natural language processing capabilities to automatically:
- Summarize scientific articles and research outcomes.
- Identify crucial insights, concepts, and interconnections within documents.
- Create literature reviews complete with citations in diverse referencing formats.
- Organize and categorize papers into a well-structured, searchable knowledge repository for convenient access.
As a result, users can minimize the time spent on tedious reading and note-taking, allowing them to concentrate more on analyzing findings, recognizing areas for further research, and contributing to the advancement of scientific knowledge. Ultimately, Sciscoper transforms the literature review process, making it more efficient and effective for its users.
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
$20/user/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
No
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
Sciscoper
Founded
2025
Country
Mauritius
Website
sciscoper.com