Document360 Alternative: One Knowledge Foundation for Customers, Partners & Employees

When a documentation-first tool hits the multi-audience wall

Document360 documents one audience well — a clean, fast customer help center with strong versioning and well-built category management. The wall shows up when you grow past that one audience. You add partners who need a portal. You add employees who need an internal hub. You want support that feeds resolved tickets back into the docs, and AI that works across everything instead of reading one static help center. Document360 wasn't built for that. It's a documentation-first platform: a content repository with a help-center presentation layer.

So teams do the familiar thing. They stand up a second Document360 project for partners, push employees into Notion or Confluence, run support in a separate Zendesk or Intercom, and bolt a chatbot onto the help center. Each holds its own copy of the same knowledge. When a spec changes, someone updates the customer project, someone else updates the partner project, and the internal wiki goes stale. Each new language multiplies all of it, because translation runs article-by-article inside each project.

You don't need better documentation. You need one source of truth your customers, partners, and employees can all use — one that powers external AI, connects to support so resolved tickets improve the docs, and gets stronger every time something is resolved.

Can Document360 be the source of truth for every audience, or only your customer help center?

💬 Quick Answer: Document360 is an excellent single-audience documentation platform. MatrixFlows is the source of truth every audience can use — it authors knowledge once and deploys it to customers, partners, and employees, with connected support and AI across the whole foundation. Document360 documents one audience; MatrixFlows enables every audience and resolves the request.

📊 Quick Stats

• Quote-only since November 2024 — Document360 discontinued its free tier and moved to sales-led pricing, so the real multi-audience cost only becomes clear after a sales call
• Strong at single-audience documentation — clean authoring, versioning, hierarchical categories, and the Eddy AI suite for assistive search and chatbot answers
• A second audience means a second project — separate login, duplicated content, and its own maintenance burden
• MatrixFlows: one foundation, many deployments — customers, partners, and employees from one source, with AI translation in up to 18 languages included
• 60–80% self-service within 6 months — typical once one foundation serves every audience and feeds support back in
• MatrixFlows pricing is published — the External plan is $5,000/year for a company under 250 employees, with unlimited internal users and unlimited AI

Most teams decide within 45–90 days of hitting the multi-audience wall. Waiting usually means 6–12 months of duplicated projects and tools before they consolidate anyway.

👉 Start your free workspace — migrate your Document360 content and serve a second audience in under 10 minutes | View pricing

Is Document360 good as a single-audience documentation platform?

Yes — for a single, well-run customer documentation site, Document360 is one of the best dedicated platforms available, and the teams who chose it didn't make a mistake. It has a clean, fast authoring experience and strong versioning. Category management is hierarchical and well-built. The customer-facing help center ranks well and reduces tickets. Analytics are good, and the Eddy AI suite handles assistive search and chatbot answers. That strength is also its boundary: it documents one audience well, and the moment you add partners, employees, or connected support, a documentation-first tool starts to show its limits.

What Document360 was designed for

Document360 is best-in-class at one thing: a customer help center. Knowledge lives in articles, organized in hierarchical categories, and renders through a branded, well-ranking documentation site. Authoring, versioning, and review are mature, and Eddy AI adds assistive search and cited chatbot answers on top of that content. For a team that needs one polished, single-audience documentation site, Document360 does that job as well as anything, and there's no reason to give it up. That focus is also the boundary: it's a content repository with a presentation layer, and everything past the customer help center — other audiences, connected support, AI that acts — is a separate project or a third-party tool.

That single-audience design is the boundary. The four sections that follow trace where it meets a multi-audience reality — on audience reach, knowledge structure, connected AI and support, and who can contribute.

Can Document360 serve customers, partners, and employees, or only a customer help center?

MatrixFlows authors knowledge once and deploys it to each audience as its own experience — a customer help center, a partner portal, an employee hub — from one foundation. Document360 handles the customer help center well, but every audience beyond it is a separate project or instance, with its own login, its own copy of shared content, and its own maintenance.

The shape is one foundation, many deployments. Teams work in one structured workspace — that's Matrix. The same content deploys as a tailored app per audience through Flows, each branded and filtered to its audience. When self-service isn't enough, the Conversations Inbox handles it with full context. Audience is a property of the content, not a separate copy.

Multiple branded help centers from one foundation, not a project per brand

Why this matters: when each brand is its own project, a single shared change has to be made several times — and the one that gets missed is where the brands drift apart.

📄 Comparison:

What Document360 enables: three brands generally means three projects — three subscriptions, three content sets to keep in sync where knowledge overlaps, and three chatbots to configure separately. A shared spec change is edited three times, by hand.

What MatrixFlows enables: one workspace and three branded help centers deployed from the same foundation. Shared content lives once and is tagged by brand; each help center filters to its brand plus the shared material, with its own styling, domain, and AI persona per deployment.

What Happens at Scale: a company running several SaaS products under different brands updates a shared policy. On separate projects that's three edits and a fourth thing to forget; on one foundation it's a single record edit that propagates to every brand at once.

✅ Key Difference:

• MatrixFlows: one foundation, many branded deployments | edit once, every brand stays current
• Document360: a project per brand | duplicated content, predictable drift

A partner portal from the same foundation, not a second instance

Why this matters: partners need specs, certification, and deal resources — a portal built for how they work, not a customer help center they scroll through.

📄 Comparison:

What Document360 enables: two options, both costly. Stand up a second project for partners — separate login, duplicated shared content, double the maintenance — or push partners into the customer help center, where they wade past end-user articles and can see content never meant for them.

What MatrixFlows enables: the same workspace, a different deployment. Content tagged for partners appears in a branded partner portal scoped to their role; shared content is maintained once and appears in both. Certification and deal-registration are guided flows on top of the same knowledge.

What Happens at Scale: a new partner program needs specs, playbooks, and deal registration. On Document360 that's a second instance or an awkward fit in the help center; on one foundation it's a view of the system you already have, and a spec change updates partner materials automatically.

✅ Key Difference:

• MatrixFlows: a role-scoped partner portal from one source | shared content maintained once
• Document360: a second project or a repurposed help center | a separate system to run

Internal employee knowledge in the same workspace, not a separate wiki

Why this matters: when internal knowledge lives in a different tool than product docs, one copy goes stale and the AI in each tool only sees half the picture.

📄 Comparison:

What Document360 enables: no internal-audience model, so the usual answer is to add Notion or Confluence for employees. Now knowledge lives in two systems — product teams document specs in the wiki while support references them in Document360 — and a spec change updates one copy, not the other.

What MatrixFlows enables: employees find HR policies, IT procedures, and product docs in the same workspace, through the Internal plan — help centers, knowledge bases, and portals for staff, each with a built-in AI agent. One search index and one AI context across all of it.

What Happens at Scale: a product manager documents a spec once, and it's available to the support agent answering a ticket, the employee searching the intranet, and the partner reading the portal — instead of being re-pasted into a separate wiki that drifts.

✅ Key Difference:

• MatrixFlows: employees and customers on one foundation | one source, one AI context
• Document360: a separate wiki for staff | two systems, two places the AI can't reconcile

Where Document360 is right on this axis: for a single, well-run customer help center, Document360's authoring, branding, and category management are genuinely strong, and a polished public documentation site is exactly what it's built to ship. If you serve one audience and expect to keep it that way, that focus is a feature, not a limit. That strength is real — and it's still not the same job as serving customers, partners, and employees from one foundation.

👉 Start your free workspace — deploy your Document360 content as a second audience experience in under 10 minutes | View pricing

Does Document360 hold knowledge as structured records, or as help-center articles?

In MatrixFlows, knowledge is typed, structured records with audience, product, and region taxonomy. In Document360 it's articles in a category tree — a content repository with a presentation layer, so the data underneath can't tell one type of content from another, and a new language means another translated project.

Articles in a help center vs typed records the AI can reason over

Why this matters: AI grounded in typed records answers from fields; AI pointed at help-center articles returns the closest article, not the right answer for the asker's role.

📄 Comparison:

What Document360 enables: articles organized in hierarchical categories with tags. Good for a documentation site, but an article has no typed fields — no product model, no firmware version, no audience as structured data the system understands — so relationships live in cross-links and category names.

What MatrixFlows enables: custom record types with typed fields, faceted taxonomy, and relational links. The same record serves a customer page, a partner view, and an internal answer, and AI reads that structure to answer which spec applies to which audience instead of returning ten articles.

What Happens at Scale: a company with many products organizes a few thousand articles by category; the tree gets deep and the same article is filed three ways. As typed records with taxonomy, the same library is filterable by product, audience, and region, and AI grounds answers in fields, not folder names.

✅ Key Difference:

• MatrixFlows: typed records with fields, taxonomy, and relations | the structure the business actually has
• Document360: articles in a category tree | one primitive for every kind of content

Multi-language on the record, not a translation project per article

Why this matters: if each language is a separate manual project, going global multiplies the same drift problem by every market you serve.

📄 Comparison:

What Document360 enables: translation runs article-by-article inside each project — write in the primary language, export, translate, import, and publish to each localized help center, then repeat every time a source article changes. Across brands and languages, version drift is effectively inevitable.

What MatrixFlows enables: AI translation on the foundation in up to 18 languages, tied to the record. A source change retranslates automatically across every deployed experience — there's no export-translate-import-republish loop and no drift, with multi-region structure built in on the higher plans.

What Happens at Scale: a company expanding into several regions would maintain many localized help-center variants on Document360, each edited per language per project. On one foundation, language is a property of the record, so the same update reaches every market at once.

✅ Key Difference:

• MatrixFlows: up to 18 languages on one foundation | one update reaches every market
• Document360: per-article translation per project | global means more variants to sync

Where Document360 is right on this axis: for a single documentation library in one language, Document360's category tree, versioning, and authoring make a genuinely polished site. If your content is one cohesive set of articles for one audience, that model is more than enough. That strength is real — and it's still not the same job as modeling many content types as structured data the AI can reason over.

Does Document360 connect AI and support to the knowledge, or stop at the help center?

MatrixFlows runs a loop: AI works across the whole foundation, resolves and acts, and every resolution feeds back as new knowledge. Document360's Eddy AI reads the help-center content you connect, and support runs in a separate help desk — so the answer stops at a link, and resolved tickets never improve the docs.

Eddy AI reads your help center; MatrixFlows AI acts across the foundation

Why this matters: a chatbot is only as good as the knowledge it can reach and what it's allowed to do — returning a link isn't the same as resolving the request.

📄 Comparison:

What Document360 enables: Eddy AI gives assistive search and a cited chatbot drawing from the knowledge base, website pages, FAQs, uploaded files, and connected ticketing. Within a single well-maintained help center that works — but it's scoped to the sources you wire in, answers the same article to a partner and a customer, and can't take an action.

What MatrixFlows enables: AI native to the foundation, with role awareness across customer docs, partner material, and internal references. Assistants answer, take transactional actions — create a record, file a claim, update an account, call an API — and escalate with full context, in chat or voice.

What Happens at Scale: a customer asks to file a warranty claim, not just where the article is. Eddy returns the closest article and the customer opens a ticket anyway; a MatrixFlows assistant walks them through the form, validates inputs, and submits it inside the conversation.

✅ Key Difference:

• MatrixFlows: role-aware AI that acts across the whole foundation | resolves the request
• Document360: a chatbot scoped to help-center sources | answers, then a link

No support operations, so resolved tickets never improve the docs

Why this matters: if resolutions happen in a separate help desk, the knowledge base never learns from the questions it couldn't answer, and the same ones keep coming back.

📄 Comparison:

What Document360 enables: help centers display content while tickets happen in Zendesk, Intercom, or Freshdesk. The agent can't see which articles the customer read or what the AI suggested, and a resolved ticket stays in the help desk unless someone rewrites it into an article by hand.

What MatrixFlows enables: the Conversations Inbox is part of the platform. Escalations arrive with the questions asked and articles consulted; AI drafts a complete reply grounded in the foundation; and one click turns the resolution into an article — so the next person self-serves. It sits in front of your existing help desk, not instead of it.

What Happens at Scale: customers ask the same setup question dozens of times a month. On Document360 plus a help desk, each is answered fresh and the resolution scatters; on one foundation, the first resolution becomes an article and the assistant handles the rest.

✅ Key Difference:

• MatrixFlows: Collaborate → Enable → Resolve → Improve | every resolution compounds
• Document360: docs in the tool, tickets in a help desk | the two never teach each other

Where Document360 is right on this axis: Eddy's assistive search and cited chatbot, within a single well-maintained help center, are a real and useful piece of self-service, and the help center genuinely reduces tickets. For a team that wants better answers on one documentation site, that's a fair upgrade. That strength is real — and it's still not the same job as AI that acts across every audience and a loop that captures every resolution.

👉 Start your free workspace — see an AI assistant answer from your Document360 content and act in ~5 minutes | View pricing

Document360's MCP can edit articles, but only inside the help center

Why this matters: connecting your own AI to a tool is most useful when it can build what every audience uses and act where the work happens, not just edit help-center articles.

📄 Comparison:

What Document360 enables: Document360's MCP is capable for its scope — a tool like Claude or ChatGPT can search, draft, and update help-center articles through it. But it operates a customer help center's articles: it can't model a partner portal or an employee hub, and it can't reach out to take an action in your other systems.

What MatrixFlows enables: from Claude or ChatGPT you build the whole platform — tables and fields, content of any kind, plus flows, skills, AI agents, and more that serve customers, partners, and employees, within your own permissions. And MatrixFlows acts in your other systems in real time: inside a workflow it can create a lead, pull an order status, or update a project, so building and doing reach beyond a help center.

What Happens at Scale: a team asks its AI to spin up a partner portal alongside the help center. On Document360, the AI edits help-center articles. On MatrixFlows, the AI builds the records, publishes the customer and partner apps on top of them, and acts in the tools where requests get fulfilled.

✅ Key Difference:

• MatrixFlows: AI builds multi-audience apps and acts in your other systems | build, serve, and do
• Document360: AI edits help-center articles | capable, but one audience and no outside action

Can the whole company contribute, or does per-seat, quote-only pricing decide?

MatrixFlows includes unlimited internal users on published company-size pricing, so anyone can contribute and any audience can be served. Document360 prices per author seat and, since November 2024, only by quote — so contribution is a budget decision and the real cost isn't visible until a sales call.

Per-seat authors and quote-only pricing vs unlimited internal users

Why this matters: when every contributor is a paid seat, the experts who know the most are rationed out, and opaque pricing makes the multi-audience cost impossible to plan for.

📄 Comparison:

What Document360 enables: per-author seats, with extra projects, languages, translation credits, storage, and readers charged as add-ons — all behind a sales quote since the free tier was retired in November 2024. The field engineer who solves an issue emails someone with author access to publish it later.

What MatrixFlows enables: published company-size pricing — total full-time employees, not seats and not AI actions. Every plan includes unlimited internal users, unlimited AI, and unlimited knowledge, with no per-user, per-resolution, or end-user fee. The External plan is $5,000/year under 250 employees.

What Happens at Scale: a 200-person company has a dozen people who should contribute knowledge but only a few author seats. On Document360 the rest are read-only; on MatrixFlows everyone contributes, so coverage fills from product, engineering, and partner teams without buying seats.

✅ Key Difference:

• MatrixFlows: published company-size pricing, unlimited users and AI | everyone contributes, $0 per resolution
• Document360: per-seat authors, quote-only add-ons | contribution is a budget decision

Where Document360 is right on this axis: for a small, defined authoring team, per-seat pricing is predictable, and tight control over who can publish acts as light governance. If your scope is a fixed handful of writers on one site, the model is straightforward. That strength is real — and it's still not the same job as letting the whole company contribute to one foundation without a seat tax.

Document360 AI limitations vs MatrixFlows AI for customer self-service

Document360 relies on the Eddy AI suite — assistive search and a cited chatbot — scoped to the help-center sources you connect. MatrixFlows has native AI grounded in your foundation that works across customers, partners, and employees through eight capabilities sharing one knowledge graph. The difference isn't "better chatbot." It's whether AI is bolted onto a documentation tool or architected into a knowledge foundation. Here's what each capability does, and where the documentation-first approach falls short.

1. Intelligent Discovery. MatrixFlows search understands intent and the user's role. A partner searching "warranty process" gets the partner-specific workflow, not the customer article or an internal policy doc. The search layer knows who is searching, what role they hold, and what they're authorized to see, and routes across the whole foundation. Document360 offers keyword and assistive search within a single help center, with no cross-audience intelligence — partners searching customer docs see customer content whether or not it applies.

2. AI-Powered Self-Service with Actions. MatrixFlows AI completes tasks. A customer asking how to file a warranty claim is walked through the form, has inputs validated, and has the claim submitted, all inside the conversation, in chat or voice. It handles transactional workflows like returns, account updates, and configuration wizards. It's grounded in your foundation, cites sources, and escalates with full context when it doesn't know. Document360's Eddy chatbot searches the help-center sources you connect and returns answers with links, with no transactional capability and no voice.

3. Internal AI Assistants. MatrixFlows gives your team four internal assistants that build the foundation. The Writing Assistant drafts articles from outlines and re-tones one briefing into customer, partner, and internal versions. The Meeting Assistant captures product and customer calls, extracts decisions, and flags documentation gaps. The Research Assistant synthesizes across the foundation with source citations. The Content Assistant analyzes which articles solve problems and which get abandoned, and recommends improvements. Document360 has no internal assistants; content creation and analysis happen outside the platform.

4. AI-Enabled Fields & Automation. MatrixFlows handles the mechanical knowledge work automatically. Auto-tagging applies tags, categories, and metadata for a consistent taxonomy across thousands of articles. Auto-categorization places each new article in the right section for every audience at once. Auto-summarization generates audience-adapted summaries. Relationship mapping identifies connections between articles and suggests links. Document360 leaves tagging, categorization, and relationships manual — time-consuming and hard to scale past a few hundred articles.

5. AI Writing Assistant. MatrixFlows has an AI writing assistant native to the editor, not a chatbot in another window. Start from an outline and AI drafts the full article. Ask for simpler language, more specific examples, or a different audience tone. The assistant knows your existing content, won't contradict established docs, maintains your terminology, and cites sources. It drafts and translates in up to 18 languages with context awareness. Document360 provides a markdown editor with formatting tools and lighter AI assistance.

6. AI Drafts Support Replies. MatrixFlows AI drafts complete support replies grounded in your foundation — real answers, not "here's an article." When a ticket arrives, the AI has already read the question, searched the foundation, and drafted a response. The agent reviews, adds context, and sends, dropping time-to-first-response from hours to minutes. In Document360, agents manually search the knowledge base, copy sections, and rework them — slow, and inconsistent because every agent writes differently.

7. Content Creation from Conversations. In MatrixFlows a resolved conversation becomes a knowledge article in one click. The agent resolves a ticket, AI suggests creating an article, and on confirmation drafts the problem, solution steps, and related resources in the right style for the audience. What used to need a content meeting and two weeks becomes a five-minute task. In Document360, tickets live in your help desk while articles live in the documentation tool, so turning support work into docs means manual extraction and rewriting.

8. Gap Identification & Auto-Draft. The system watches for questions the foundation can't answer yet and auto-drafts the missing article. When three partners ask about installation requirements in a week, MatrixFlows flags the coverage gap and has already drafted an article from those conversations, structured for the partner audience. Your team validates and publishes rather than researching from scratch. Document360 leaves gap identification to manual content audits, so weeks pass between recognizing a gap and closing it.

✅ The bottom line on AI:

• MatrixFlows: eight capabilities on one foundation, so self-service improves week over week without proportional effort.
• Document360: a documentation repository with the Eddy AI suite on top — AI scoped to help-center sources rather than architected across every audience, with improvement requiring manual content work.

Does Document360 turn resolved tickets into knowledge? (support loop)

MatrixFlows runs the full Enablement Loop — Collaborate, Enable, Resolve, Improve — so every conversation strengthens the foundation and every resolved issue prevents future ones. Document360 stores articles while tickets happen in a separate help desk that never feeds back. Here's how it works as one system.

How the Conversations Inbox works

Customers, partners, and employees reach out by email, web form, or chat, and everything lands in one queue where context already exists. The system knows what self-service content they accessed, what workflows they attempted, and what articles they read before contacting you. When a partner emails about an issue, the agent sees the full picture on one screen — their certification status, recent documentation views, and related conversations from other partners with the same problem. No tool-switching, no hunting for context.

AI-assisted resolution, grounded in the foundation

AI reads the incoming message and drafts a complete response from your foundation — a full answer to the specific question, not a link. The agent reviews. If it's accurate, they personalize and send. If it needs adjustment, they edit and send. Either way time-to-resolution drops from hours to minutes, what the agent changes is captured, and if AI consistently misses something the system flags it for content improvement.

Sit in front of the help desk you already run

MatrixFlows sits in front of Zendesk, Salesforce Service Cloud, or Freshdesk rather than replacing them, so you keep the help desk you already run. When an issue needs that help desk, the full conversation context moves with the ticket. The agent there sees what self-service content the customer accessed, what AI responses were suggested, and what didn't work. There's no "can you explain the issue again" moment, and resolution is faster because context isn't lost in the handoff.

How the Enablement Loop closes

When an agent resolves a ticket, AI suggests creating an article and drafts it from the exact scenario just resolved — problem, steps, related resources. It publishes with minimal editing, so the next person with that question self-serves. This happens continuously. It prevents the four things that quietly erode a knowledge operation: repeated questions, context loss, stale knowledge, and content debt. With Document360 plus a separate help desk, that knowledge stays trapped in the help desk and has to be manually extracted. Here it's automatic.

✅ Key Difference:

• MatrixFlows: support and knowledge are one system — every resolution becomes self-service and the loop compounds.
• Document360: knowledge in the tool, tickets in a help desk — the two never teach each other anything.

Document360 pricing vs MatrixFlows: total cost of ownership

The cleanest contrast is visibility: MatrixFlows publishes its pricing, and Document360 doesn't. Since it discontinued its free tier in November 2024, Document360 sells quote-based, sales-led tiers, with extra projects, workspaces, languages, translation credits, storage, users, and readers all charged as add-ons. So a defensible Document360 total isn't something you can compute from a price page — it only becomes clear after a sales call, and it stacks with every audience you add. What follows is the structure, not a quoted number.

MatrixFlows prices by company size — total full-time employees, not seats and not AI usage. Every plan includes unlimited internal users, unlimited AI usage, and unlimited knowledge and content, with no per-user, per-resolution, or end-user fee. The External plan, which adds customer and partner enablement on top of internal collaboration and employee enablement, is $5,000/year for a company under 250 employees — about $15,000 over three years — with AI translation and support operations included. A multi-brand or multi-region rollout moves to the Platform plan.

Where the documentation-first stack adds cost

Four drivers stack on a documentation-first approach, and a unified foundation includes each one. Per-seat authors: every contributor is a paid seat, so the people who know the most are often left read-only to control cost. Duplicate projects: customers, partners, and employees are separate projects, each with its own content and maintenance, so a single spec change is edited in several places. AI as add-ons: Eddy AI is priced on top of the base subscription. Per-word translation: localization is typically charged per word and runs as a recurring project as content changes. On MatrixFlows, contributors are unlimited, audiences deploy from one foundation, all eight AI capabilities are included, and AI translation across up to 18 languages is built in.

The cost of waiting a quarter

The compounding cost is real. Each quarter on the fragmented stack adds per-seat and per-project spend that grows with hiring and audiences, the content time lost re-publishing the same facts across projects, and the opportunity cost of self-service you don't have yet. Teams that consolidate onto one foundation typically see self-service reach 60–80% within six months, article-creation time fall about 70%, and manual content management drop 60–70%. We keep proof honest: those are typical outcome ranges from MatrixFlows deployments, not a named-logo case study.

✅ Key Difference:

• MatrixFlows: company-size pricing, published — unlimited users and AI, $0 per resolution, no end-user fees.
• Document360: quote-only, per-seat, per-project — AI, translation, and support each billed separately.

When teams add MatrixFlows alongside Document360

The pattern is consistent. Teams keep Document360 for the customer help center if they like it, and put MatrixFlows on top to serve partners and employees, connect support, and run AI across the whole foundation. They migrate the help center on their own timeline, with URLs and search preserved, rather than ripping anything out on day one.

The trigger is almost always audience expansion. A team signs partners, stands up an employee hub, needs AI a customer can actually transact with, or goes multi-language and multi-brand. Document360 keeps documenting the customer audience well, but each new audience becomes another project or tool. The teams that fix it consolidate the multi-audience layer onto one foundation, where the same knowledge deploys to every audience and resolved conversations feed back as new articles. They see self-service climb to 60–80% within six months, article-creation time fall about 70%, and manual content management drop 60–70%. Those are typical outcome ranges from MatrixFlows deployments, not a named-logo case study — connect your own sources and watch an assistant answer from them to get your numbers.

If you're comparing knowledge tools more broadly, see MatrixFlows vs Confluence for the internal-wiki angle and MatrixFlows vs Notion for the team-workspace angle.

Keep the help center you've built. Add the foundation every audience can use.

👉 Start your free workspace — migrate your Document360 content and serve customers, partners, and employees from one source in under 10 minutes. No credit card.

Prefer the numbers first? View pricing — published company-size pricing, unlimited users, unlimited AI, no per-resolution or end-user fees.

Related resources

Explore the MatrixFlows knowledge base for every audience, customer enablement and support, and knowledge and AI-powered apps. Comparing other tools? See MatrixFlows vs Confluence and MatrixFlows vs Notion.