docAnalyzer

docAnalyzer is a source-grounded AI workspace designed for expert practitioners who need to transform large volumes of documents into polished, verifiable deliverables. The platform addresses a common bottleneck: while information retrieval and embedding technologies have matured, the real time sink remains the manual process of synthesizing multiple sources into outputs that meet professional standards—such as memos with clickable citations, spreadsheets that withstand audit scrutiny, and presentation decks that do not require manual rewriting. The workspace offers three distinct chat modes, each purpose-built for different stages of document analysis. The exact modes are not enumerated on the page, but based on typical workflows they likely include a precise Q&A mode that pulls exact passages from uploaded documents, a synthesis mode that combines information across sources, and a formatting mode that structures outputs into ready-to-use formats. Users can upload files (e.g., PDFs, reports, spreadsheets) and the system immediately indexes them, allowing the AI to answer questions with direct references to the original text. A key feature is the ability to access dozens of language models within a single subscription plan. This gives practitioners flexibility to choose the most suitable model for each task—from lightweight models for quick summaries to more advanced ones for complex reasoning. The platform also supports downloadable artifacts that compound across conversation turns. For example, after generating a memo in one turn, a user can refine it in subsequent turns, with the AI retaining context from previous documents and outputs. Each download includes traceable source citations, ensuring that every claim can be audited back to the original document. The inter