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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
NeuralVerge serves as an AI-driven platform tailored for research and data extraction, catering specifically to go-to-market, compliance, and research teams, along with the AI agents they develop. Users can ask straightforward questions or direct inquiries at a specific company, individual, or URL and receive structured responses with clear citations for each data point.
The AI Research component intelligently breaks down complex questions into manageable sub-queries, efficiently directing them to appropriate sources simultaneously, consolidating the results into a single, well-cited reply. Meanwhile, AI Extract transforms any webpage or document into neatly formatted JSON according to user-defined schemas, eliminating the need for ongoing selector maintenance.
With a robust network of 29 data sources included under a single request format, the platform offers access to company intelligence, 12 corporate registries, contact enrichment, and publicly available social media profiles. All of this functionality is conveniently accessible through a web application, REST API, or as an MCP server, ensuring that both analysts and AI agents collaborate seamlessly within the same data pipeline.
The pricing structure operates on a points-based system starting at $20 monthly, featuring no fees per seat, and prospective users can test the service without needing to provide a credit card. Additionally, this makes it easier for teams to explore the platform without financial commitment initially.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
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
$20/month
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
NeuralVerge Inc.
Founded
2026
Country
United States
Website
neuralverge.ai
Product Features
Product Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction