Petal is an advanced generative AI tool designed to enhance how individuals and teams interact with their digital documents, making information retrieval and document analysis more efficient and reliable. In that sense, it allows users to link their own knowledge bases, enabling the generation of fully sourced, trustworthy answers.
By training the AI on their own documents, users can transform their collections of texts into interactive, digital experts who can instantly provide accurate information. This can be particularly beneficial for researchers, faculty members, and industry experts who frequently deal with extensive amounts of data and require quick, reliable access to specific knowledge contained within their documents.
Petal provides a centralized cloud-based platform for storing, organizing, and analyzing documents, complete with functionalities like automatic metadata extraction, file deduplication, and specialized support for technical and scientific documents. Furthermore, it facilitates annotations and collaboration, allowing users to highlight important information, share notes, and easily distribute documents through shareable links.
All this makes Petal a comprehensive solution for managing and leveraging digital documents in academia, corporate R&D, and various other fields.