Many companies end up writing their documentation in a tool that wasn't built for it — a wiki, a shared doc, a folder of PDFs — which makes it hard to search, version, and keep current as the product changes. Document360 is built specifically for this job: it's a dedicated knowledge-base platform where teams write, organize, and publish documentation, with version control so you can track how an article changed over time and roll back if needed. What sets it apart technically is how far it leans into AI on both the writing and reading side: an AI writing agent can draft documentation from a video walkthrough or an uploaded file, a conversational AI search cites its sources rather than just returning links, and it plugs directly into ChatGPT, Claude, and Copilot via MCP (Model Context Protocol) so those assistants can pull answers straight from your docs. It targets support teams, technical writers, and product teams, with a heavier concentration of enterprise buyers in healthcare, financial services, and manufacturing who need SSO, granular privacy controls per knowledge base, and workflow approvals — all of which come at custom, quote-only pricing.
A team wiki that tries to notice when it's wrong — an AI agent watches your connected tools (Slack, Jira, GitHub and more) for changes and drafts an update to the relevant doc before it goes stale, instead of waiting for someone to remember to fix it.
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