Sharly

Sharly is an AI-powered research assistant designed to help individuals and teams manage, analyze, and extract insights from complex documents. Its core functionality revolves around three primary capabilities: summarizing lengthy documents, comparing multiple sources, and generating accurate citations. Users can upload research papers, reports, contracts, or any text-heavy files, and Sharly automatically produces concise summaries that highlight key findings, methodologies, and conclusions. The comparison feature allows side-by-side analysis of up to 16 documents, identifying conflicts, missing data, and matches in content — for example, it can flag discrepancies between a statistical analysis plan and a research paper, or surface overlapping references across sources. Each output is sourced with direct references to the original text, enabling users to verify claims quickly. The platform also supports collaborative workflows. Teams can work within a shared secure AI workspace, where members upload documents, ask questions, and receive answers grounded in the uploaded material. Sharly uses retrieval-augmented generation (RAG) to ensure that responses are based only on the provided documents, reducing the risk of hallucination. Users can ask follow-up questions, request clarification, or drill down into specific sections of a document. The tool is particularly useful for researchers, legal professionals, analysts, and corporate teams who need to process large volumes of information without manually reading every page. Security is a key aspect: Sharly treats uploaded documents as private, and the platform uses encryption to protect data. It also offers features like document scanning for terms and conditions, policy review, and status tracking. The interface is minimalis