Keenious provides an AI-powered platform that helps academic users discover and understand scholarly literature from millions of sources. The service facilitates research exploration through natural conversation, offering clear explanations of complex concepts and methodologies within research papers. This tool supports users in building genuine research capabilities across various languages and disciplines.
Funding
$15.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Researchers and students often struggle to efficiently find relevant research articles using traditional search engines, potentially overlooking valuable materials. This can lead to incomplete literature reviews and hinder the research process.
Solution
Keenious is a research tool that leverages AI to analyze full-text documents and identify relevant research articles and topics. Users can input text or upload PDF files, and Keenious's AI recommendation engine analyzes the content, compares it to millions of scientific publications from the OpenAlex dataset, and provides a list of recommended research articles and related topics. The platform also offers advanced filtering options to refine results based on publication date and citation count. Keenious integrates with Microsoft Word and Google Docs through extensions, allowing users to access research recommendations directly within their writing environment.
Target Audience
Keenious primarily targets students, researchers, and librarians seeking to enhance their research process and efficiently discover relevant academic literature.
Features
- AI-powered recommendation engine analyzes text and identifies relevant research articles and topics.
- Integration with Microsoft Word and Google Docs via extensions.
- Highlight search allows users to specify key sections of a document for tailored recommendations.
- Topic suggestions help users understand the content of their document and discover related areas of research.
- Advanced filtering options to refine results based on publication date and citation count.
- Fast citation feature for easy referencing in popular formats.
- Similar articles feature to discover related research.
- Smart bookmarks automatically sort saved articles by relevance.
- Access to over 100 million research articles from the OpenAlex dataset.