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Document360 Startup Deals & Discounts

AI knowledge base platform where technical writers and Eddy AI build, search, and deliver documentation together.

Website2 deals

Deal Overview

Best Offer

$3.6K

Total Value

$3.9K

Available Deals

2

Available Deals

Subscribe to unlock deals - promo codes, redemption steps and exact eligibility are for subscribers. Create an account to get started.

Open Access3.6K

Save up to $3,594

Save up to $3,594

Promo code, redemption steps & eligibility

Open Access300

6 months free

6 months free

Promo code, redemption steps & eligibility

Document360 Startup Deals - Overview

Document360 runs an application-based startup program that lets qualifying early-stage companies adopt its AI knowledge base platform at a steep discount instead of paying standard subscription rates. Approved startups can receive an extended stretch of free access plus meaningful savings against a typical annual plan, which removes a real cost barrier for teams standing up their first public help center, internal wiki, or API documentation.

Eligibility is geared toward genuinely young companies: the program targets startups with a small headcount and limited outside funding, so it favors teams that are still building rather than scaled organizations. Founders apply and are reviewed before the discount is granted, keeping the offer aligned with companies in their formative stage.

The reasoning is straightforward. Documentation often gets postponed when budgets are tight, yet early structure in support content and product docs compounds as a company grows. By lowering the entry price, the program encourages startups to build that foundation on a platform with AI search, an authoring workflow, and analytics they can grow into rather than outgrow.

About Document360

Document360 organizes a company's documentation into one workspace where human writers and its Eddy AI layer work side by side. Rather than treating AI as a bolt-on, the 2026 platform threads it through the whole lifecycle: a block-based editor with version history and approval workflows for authoring, Ask Eddy for conversational search that returns cited answers, an AI chatbot that resolves quest...

Key Features

Eddy AI search and chatbot

Ask Eddy answers questions in natural language with citations drawn from your articles, while the AI chatbot deflects repetitive support tickets by responding directly from published content.

AI writing agent

Generate structured documentation from videos, files, or prompts, then refine tone, extend sections, summarize, and get related-article suggestions inside the editor.

Block-based editor with workflows

Author content in a modern editor backed by version history, category management, and configurable review and approval workflows so only vetted articles publish.

Multiple documentation surfaces

Run public help centers, private internal knowledge bases, API references, and SOPs from one project, each brandable to a custom domain.

MCP server for AI assistants

Connect a knowledge base to ChatGPT, Claude, and Copilot through a built-in MCP server, with tools for search, publishing, and workflow management.

Enterprise governance

Control access with SSO and SCIM provisioning, role-based permissions, audit logging, and sandbox testing for changes before they go live.

Pros & Cons

Pros

  • AI woven into the workflow - Eddy AI search, chatbot, and the writing agent live inside the same editor and portal, so drafting and self-service answers come from one source of truth rather than a separate add-on.
  • One project, many audiences - a single knowledge base can serve a public help center, a private internal wiki, and API documentation, each with its own access rules and branding.
  • Built for AI assistants - the native MCP server lets external tools like ChatGPT, Claude, and Copilot read your documentation, which is increasingly useful as teams route answers through AI.
  • Serious governance - SSO with SCIM provisioning, audit logging, granular roles, and a sandbox make it credible for security-conscious and enterprise buyers.

Cons

  • Quote-based pricing - Document360 no longer publishes plan prices, so you have to request a quote to learn your real cost, which slows early evaluation.
  • Per-project, tiered seats - pricing is per project and team-member counts are capped by tier, so multiple knowledge bases or larger editorial teams can raise the bill quickly.
  • Depth has a learning curve - the breadth of workflows, categories, and settings is powerful but can feel heavy for a small team that just wants a simple help center.

Use Cases

Common ways teams use Document360

  • Public help center - a customer-facing, branded knowledge base with Ask Eddy search and an AI chatbot to deflect support tickets.
  • Internal wiki - a private space for SOPs, onboarding material, and team knowledge with role-based access.
  • API and developer docs - structured technical references kept in version-controlled articles alongside product documentation.
  • Product manuals and SOPs - step-by-step guides and operating procedures that stay current through review workflows.
  • AI-ready knowledge source - exposing documentation to assistants like ChatGPT, Claude, and Copilot through the MCP server so answers stay grounded in your own content.

Pricing

Document360 uses quote-based pricing across three main tiers, billed per project and typically billed annually:

  • Professional - core internal and external knowledge base, custom domain, AI writing and search, and translation, with a small included team.
  • Business - adds advanced analytics, a workflow builder, an embedded help widget, the AI chatbot, and a wider set of integrations.
  • Enterprise - adds SSO with SCIM, audit logging, sandbox, advanced governance, and higher team limits for larger organizations.

List prices are no longer published, so exact figures come from a sales quote. A free trial is available to evaluate the platform before committing, and the startup program can substantially lower the cost for qualifying early-stage teams.

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