Platform for quickly analyzing research papers and extracting key insights. Integrates with databases like arXiv, Google Scholar, and PubMed. Offers various plans to suit different needs.
Automatically summarizes research papers to help users quickly understand the key points and findings.
Lets users input questions and provides answers by analyzing relevant research data and papers.
Extracts figures, results, and statistics from research papers to support data-driven decisions.
Helps users organize and manage citations from various research papers for easy access and reference.
Analyzes research papers to find relevant information quickly, enhancing the speed and accuracy of data extraction from complex documents.
Provides AI-powered recommendations and insights to improve research and data gathering processes.
Uses AI to match the accuracy of expert human reviewers in the data extraction process of systematic reviews.
The platform speeds up the process of systematic reviews by 50% to 80%, reducing the time and costs involved.
Enables researchers to conduct reviews and analyses with broader data, enhancing the impact of their findings.
Allows extraction of data from various sources, including tables, for both screening and meta-analysis stages.
Users can choose from over 30 predefined fields for data extraction or define custom fields to meet their specific research needs.
Allows for inline verification of language model outputs, integrating supporting source references directly into the review process.
This feature automates data extraction while maintaining accuracy. It combines human-level checks with machine efficiency, resulting in improved productivity.
The application provides a 50% to 80% increase in speed while reducing costs, making data extraction more efficient and economical.
Allows users to continuously update reviews with new papers as they become available, ensuring that the data remains current.
Users can choose from over 30 predefined fields or create their own, allowing for flexibility in how data is organized and reviewed.
Supports in-line checking of language models, ensuring that quotations and interpretations from source papers are accurate and contextually appropriate.
Quickly identify what's relevant by seeing all papers listed with their summaries side by side.
Choose from over 60 predefined fields or create your own to extract specific information from each paper.
Get concise, understandable summaries of relevant research by asking questions in plain language.
Instant overview and summary of key topics. This feature allows you to efficiently gather information from existing literature related to clinical trials, providing concise summaries of relevant data.
Easily click into and find detailed data on each paper. This option helps users to examine specific aspects of the literature, such as inhibitors, patient populations, and more.
Identify common topics discussed across multiple papers. This feature collates and categorizes data to highlight recurring themes and trends, making it easier to draw meaningful conclusions from the literature.