NNScholar

NNScholar

武汉衔光智能科技有限公司
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About

Acade is an AI research co-scientist who starts with a research question and turns it into a structured, verifiable research loop. It helps researchers map literature, propose traceable hypotheses, plan experiments, interpret results, and turn the full path into an evidence-backed report while keeping the scientist in control. It is built for human-in-the-loop research, supporting users as they search, compare, critique, and document evidence without replacing scientific judgment. Acade begins with research question intake, capturing the domain, goal, constraints, files, assumptions, and expected decision before the agent starts. It can organize relevant papers, claims, methods, debates, and research gaps into a literature-grounded map while preserving source provenance. It also generates hypothesis cards that compare evidence, counter-evidence, novelty, feasibility, and risk, helping researchers review candidate ideas before execution.

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.

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

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

Audience

Students, researchers, educators, and knowledge professionals that want to research, organize evidence, analyze data, and produce source-supported academic writing

Audience

Graduate students, faculty, academic researchers, and research teams working with scientific literature, PDFs, and DOCX manuscripts.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Acade
United States
acade.ai/

Company Information

武汉衔光智能科技有限公司
China
www.nnscholar.com

Alternatives

Alternatives

moara

moara

moara.io
LeapSpace

LeapSpace

Elsevier

Categories

AI Research Tools Supported

Categories

Academic Research Supported
AI Research Tools Supported

Integrations

Model Context Protocol (MCP) Not Supported

Integrations

Model Context Protocol (MCP) Supported
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