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AI Knowledge Management

Document360

A documentation and knowledge base platform for versioned technical and product docs — help centers, developer docs, and internal wikis — with AI search and writing built in.

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What it does

Document360 is a dedicated documentation and knowledge base platform aimed at teams that need something more structured than a general wiki — versioned articles, content approval workflows, and support for both public-facing help centers and private internal knowledge bases from the same product. Its AI features center on Eddy AI, which can turn a rough draft, prompt, or even a recorded screen walkthrough into structured, publish-ready documentation, alongside AI-powered search and answers over the resulting content. It’s priced per knowledge base (“project”) rather than treating all documentation as one flat space, which suits companies maintaining multiple distinct docs sites — a product help center and a developer-docs site, for example — but adds cost for each one.

Ideal users

  • SaaS companies and product teams that need a dedicated home for versioned product or technical documentation
  • Support and documentation teams maintaining both public help-center content and private internal knowledge bases
  • Teams that need approval workflows and version history for documentation, not just free-form wiki editing
  • Organizations wanting AI-assisted drafting and AI-powered search within a structured docs platform

Who should avoid it

  • You want a general team wiki for internal notes and project docs rather than structured, versioned product documentation — Confluence fits that better
  • You need to search across many other apps, not just your documentation site — see Glean
  • You want bite-sized answer cards for real-time lookup rather than a full documentation authoring platform — see Guru
  • You need multiple separate knowledge bases (products, brands, or portals) on a tight budget — pricing is per project, so each one adds to the bill

Key features

  • Block-based editor supporting both Markdown and WYSIWYG authoring
  • Version history and content approval workflows for documentation changes
  • Eddy AI: AI writing agent that can turn text, video, or a prompt into structured, publish-ready documentation
  • AI Search and AI-generated answers over the knowledge base content
  • Auto-generated glossaries and duplicate-content detection
  • Public and private knowledge base support, with a customizable reader portal
  • 60+ connectors, including Slack, Intercom, Zendesk, Salesforce, and GitHub

Pros

  • Purpose-built for structured, versioned documentation rather than free-form notes or wiki pages
  • Approval workflows give more editorial control over what gets published than an open wiki model
  • Can serve both a public-facing help center and a private internal knowledge base from the same platform
  • AI writing assistant can meaningfully speed up producing first-draft documentation from existing material

Cons

  • Pricing is quote-based and per project, so running multiple knowledge bases (e.g. separate products or brands) multiplies cost
  • No permanent free tier as of late 2024 — only a time-limited free trial
  • Less suited to informal, fast-moving team notes than a general wiki
  • Full value depends on a content team actively authoring and maintaining structured docs, not just searching existing content

Pricing

Paid — Document360 uses fully custom, quote-based pricing as of mid-2026 — its official pricing page lists no public prices for the Professional, Business, or Enterprise tiers. Cost depends on factors like team size, number of knowledge-base projects, languages, and AI usage, so get a current quote at document360.com/pricing.

A 14-day free trial is offered on paid tiers; there is no permanent free plan for new signups as of late 2024.

Typical workflows

  • A documentation team drafts a new feature guide using Eddy AI from a rough outline or recorded walkthrough video, then routes it through an approval workflow before publishing to the public help center.
  • A support team maintains a private internal knowledge base of troubleshooting steps alongside a public customer-facing help center, both powered by the same AI search.

Integrations

  • Slack
  • Intercom
  • Zendesk
  • Salesforce
  • GitHub
  • 60+ connectors total, per Document360's own site; the enumerated catalog (helpdesk/chat, analytics, marketing automation, comments, and code-repo tools) is maintained at docs.document360.com/docs/integrations

Privacy & security notes

Document360 does not use customer content to train AI/LLM models: Eddy AI and AI Search run on OpenAI's models under a data processing agreement stating that data is not used for training or shared with others, and is deleted from OpenAI's systems after a short retention window. Document360 itself is SOC 2 Type II and GDPR compliant, encrypts project data at rest and in transit, and permanently deletes content when a knowledge base project is deleted.

Frequently asked questions

Can Document360 host both public and internal documentation?

Yes — the platform supports both public knowledge bases (like a customer help center) and private, internal-only knowledge bases, which can be run as separate projects.

Is Document360 a good fit for general team notes, like Confluence?

Not really — Document360 is built around structured, versioned, approval-driven documentation rather than free-form wiki pages, so it fits product and technical documentation better than informal team notes.

Is there a free plan?

No permanent free plan as of late 2024; Document360 offers a 14-day free trial on its paid tiers instead.

What does Eddy AI actually do?

Eddy AI is Document360's AI writing agent, able to turn existing text, a recorded video, or a prompt into structured, publish-ready documentation, alongside AI-powered search and answers over the resulting knowledge base.

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