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Description
CiteDash is an innovative research and writing platform powered by artificial intelligence, aimed at enhancing the academic workflow by integrating source discovery, analysis, drafting, and citation functionalities into a cohesive system. Users can simply input a research topic, essay prompt, or inquiry, prompting a sophisticated multi-agent pipeline to automatically explore various academic databases like Semantic Scholar, PubMed, and OpenAlex to identify, assess, and synthesize pertinent literature into a well-organized draft complete with inline citations. By focusing on accuracy and reliability, CiteDash ensures that every assertion is backed by verifiable academic sources, effectively eliminating fabricated references and guaranteeing that outputs can be traced back to authentic studies. The platform accommodates an extensive variety of academic tasks, such as writing essays, developing research papers, conducting literature reviews, and preparing for exams, while providing useful features like AI-generated notes, organized outlines, and question generation for active recall, all aimed at enhancing the learning experience. Furthermore, this comprehensive approach not only saves time but also elevates the quality of academic work by facilitating a deeper understanding of the subject matter.
Description
Streamline labor-intensive research activities such as condensing scholarly articles, gathering data, and integrating your results. Pose a research inquiry and receive a compilation of pertinent studies from our extensive repository of 200 million publications. Obtain concise one-sentence abstracts for quick insight. Choose relevant articles and explore additional ones that share similarities. Organize extracted information from studies into a structured table for easier analysis. Generate a list of desired insights synthesized from multiple papers, identifying overarching themes and ideas throughout the collection. Accomplish data extraction from papers in half the time and at a reduced cost compared to manual methods. Utilize natural language to navigate through 200 million academic articles effectively. Gather information from papers, summarize key concepts, and implement tailored workflows and data sources. Elicit employs advanced language models to facilitate data extraction and summarization of research papers. While this innovative technology can sometimes produce inaccurate information, we continuously refine our models for specific tasks and regularly update them to enhance accuracy and reliability. Ultimately, our goal is to empower researchers with efficient tools that significantly reduce the time spent on literature reviews and data analysis.
API Access
Has API
API Access
Has API
Integrations
Discord
EndNote
Google Sheets
Markdown
Mendeley
Microsoft Excel
Microsoft Word
Model Context Protocol (MCP)
Node.js
PubMed
Integrations
Discord
EndNote
Google Sheets
Markdown
Mendeley
Microsoft Excel
Microsoft Word
Model Context Protocol (MCP)
Node.js
PubMed
Pricing Details
$9 per month
Free Trial
Free Version
Pricing Details
$1 for 1,000 credits
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
CiteDash
Country
United States
Website
citedash.ai/
Vendor Details
Company Name
Elicit
Country
United States
Website
elicit.com