kOS
Visit Website
What is kOS?
kOS (pronounced chaos) is a revolutionary research tool developed by Helper Systems that restores trust between students and faculty in the age of AI. Designed for macOS and PDF files, with a web-based version supporting multiple file types coming soon, kOS significantly simplifies and enhances the research process. It introduces a new concept for folders with instant access to a table of contents, document thumbnails, a word cloud, and indexes that expose the number of word occurrences across all your documents. This graphical display of words, phrases, and concepts allows you to quickly grasp the key themes in your research material. kOS makes sharing excerpts seamless by automatically including citations, enabling sharing across devices and apps, and easily linking back to your kOS database. You can explore multiple sets of PDF files simultaneously, saving valuable time. One of its standout features is the ability to build presentations that showcase the process taken in your research, providing clear proof of work. This is crucial for maintaining academic integrity while leveraging AI tools. kOS operates without servers, ensuring your privacy, and does not require internet access to function, making it a secure and reliable tool for offline research. Whether you are a student working on a thesis, a professor reviewing literature, or a researcher managing multiple projects, kOS streamlines your workflow. It offers a free trial with access to powerful premium features for six months, after which it transitions to a $9.99 monthly subscription. Get started at no cost and transform the way you conduct research, ensuring transparency and efficiency in your academic work.
Use Cases
Key Features
PDF research tool instant table of contents document thumbnails word cloud display word occurrence indexes automatic citation sharing multi set PDF exploration presentation building proof of work serverless privacyWho is it for?
students, faculty, researchers, academic integrity officers, educators, Ph3D candidates, librarians
