Document360

Kovai.co's knowledge base platform for public and private documentation

Overview

Document360 is a knowledge base platform owned by Kovai.co, a software company headquartered in London whose team of more than 290 people is split between London and Coimbatore, India; Kovai.co also makes BizTalk360 and Turbo360[13]. Document360 targets both customer-facing help centres and internal knowledge bases, as well as product and API documentation.

Its AI features are grouped under the Eddy AI brand, covering AI search, an AI chatbot and an AI writing agent, and the product lists localisation for multilingual knowledge bases and an API documentation solution. The homepage names McDonald’s, the NHS, Virgin Red, HP, Puma and Samsung Ads among users, and lists SOC 2 and ISO 27001:2022[12].

Document360 moved to fully quote-based pricing. Its pricing page explains that quotes depend on the number of team accounts (editors and reviewers), workspaces, languages, SSO and security needs, the privacy model of the knowledge base (public, private or mixed) and use of the AI Premium Suite. Each project is a complete knowledge base with its own users, custom domain, branding and readers. The AI chatbot and the AI Premium Suite items, such as screen capture, step-by-step guides, interactive demos and video recording, are listed as add-ons[11]. The absence of a public price list is the main drawback for smaller buyers comparing options.

Document360 features

  • Public, private and mixed knowledge bases per project
  • Eddy AI search, chatbot and writing agent
  • Localisation for multilingual content
  • API documentation solution
  • Custom domain and branding per project
  • SOC 2 and ISO 27001:2022

Document360 pricing

Quote-based. Quotes depend on team accounts, workspaces, languages, SSO and security needs, privacy model and AI Premium Suite usage. AI Chatbot and AI Premium Suite features are add-ons.

Document360 strengths and limitations

Strengths

  • Handles both public help centres and private knowledge bases
  • Strong documentation and API-docs orientation
  • Published security certifications
  • Large named customer base

Limitations

  • No published prices
  • Several AI features sold as add-ons
  • Costs scale with editors, languages and workspaces
  • Heavier than needed for a simple team wiki

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