Unriddle

Anara is an AI research assistant built for scientists, researchers, and R&D teams who need verifiable answers from their document libraries. It searches uploaded files and the web, summarizes findings, and helps you write with every claim cited back to its exact source. In an internal benchmark against five general-purpose AI platforms, Anara achieved 97% page recall and outscored ChatGPT and NotebookLM on multi-document question-answering, making it 4× more accurate at finding information in documents. Built to handle heavy research workflows, Anara supports up to 10,000 files in a single conversation, with perfect memory of every upload. You can chat with a single PDF, a folder, or your entire library, and get cited answers that point to the exact passage—no more blind trust in AI outputs. The tool also includes an agent that runs code and returns files like Word documents, spreadsheets, and diagrams, plus Sheets for spreadsheet analysis with formulas and citations, and Views to extract data across documents into a table. Recent updates have added a desktop app for Mac, a redesigned notes editor with inline formatting and version history, over 10,000 citation styles, and the Model Council feature that queries multiple models at once for synthesized answers. New models include GPT 5.6, Claude Sonnet 5, Grok 4.5, and Fable 5. Anara connects with the tools researchers already use: Zotero, Mendeley, Google Drive, OneDrive, Dropbox, SharePoint, and scientific databases like PubMed, arXiv, and ClinicalTrials.gov. It meets enterprise-grade security standards with SOC 2 Type II and ISO 27001 certifications, and is GDPR and HIPAA compliant—your data is never used to train models. Where Anara differs from ChatGPT or Perplexity is its obsession with traceability. While general-purpose chatbots offer broad knowledge, they lack Anara's accuracy on domain-specific document analysis and citation rigor. For researchers who need traceable facts over conversational chitchat, Anara is the clear choice.