Petal

Petal is an AI-powered document analysis platform that allows users to upload their own documents and interact with them through a chat interface, producing fully sourced and reliable answers. It functions as a context-aware generative AI tool trained on user-provided sources, enabling users to stop searching through documents manually and instead get instant, trustworthy answers.

Key Features

• Generative AI Chat: Users can ask questions and receive answers directly from their uploaded documents, with citations.
• Centralized Cloud Drive: A single location for all digital documents, with automatic metadata extraction, file deduplication, and support for technical and scientific documents.
• Annotation and Collaboration: Users can highlight key points, share comments, and generate shareable links, reducing the need for emailing documents back and forth.

Use Cases

Petal is used by researchers, faculty, industry experts, and corporate R&D teams for managing references, collaborating on research, and quickly finding information within their knowledge bases.

Who It’s For

Academia (reference management), corporate R&D departments, and industry experts needing to organize and query large document collections.