Qind AI

About Qind AI

Qind AI is a capture-first knowledge base: a web clipper plus a store that summarises, tags and indexes whatever you throw at it, then answers questions about the pile in natural language. It takes articles, PDFs, plain notes, audio recordings and images, produces a summary with citations back to the source, and applies auto-tagging so you are not maintaining a folder hierarchy you will stop maintaining in three weeks. The retrieval side is the point — rather than remembering where you filed a paper, you ask for what it said. Collections group material by project, deep insights pull out key topics across a set of items, and a weekly intelligence digest surfaces things you saved and never returned to. Imports come from Google Drive, Notion and other sources, so an existing archive can be moved in rather than rebuilt. For agent workflows it exposes an MCP server, which means Claude or ChatGPT can query your saved knowledge directly instead of you copying context into a chat window each time. The framing throughout is aimed at the failure mode the vendor names explicitly: bookmarks that vanish into folders, screenshots forgotten the moment they hit the desktop, PDFs read once and never reused, research scattered across six tools and three devices. Pricing is in euro and unusually low for the category, with a free-forever tier capped by item count rather than crippled by feature.

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