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Document360
AI-assisted knowledge base and documentation platform for public help centers and internal manuals, with Eddy AI for search, writing, and translation.
Product, support, and docs teams that need versioned knowledge bases with AI search and authoring for customers or employees.
Finance diligence teams that mainly need Matrix-style analysis across external deal rooms.
Verdict
Document360 is a good fit when documentation debt is the bottleneck and you want a real knowledge base with AI help, not only a chat wrapper. Public signals place it solidly in this directory's mid-market band. Practitioners like structured authoring and Eddy AI search; buyers who need governed workplace cards in Slack may still prefer Guru, and deal-room analysis may still prefer Hebbia.
Score Breakdown
How Document360 scores in the categories that matter to its buyers.
Pricing
Document360 commercial packaging is project- and project-tier based after the free tier ended. Public pages emphasize documentation workspaces more than a single universal dollar card for every AI SKU.
Model: SaaS subscriptions by project/workspace tier, with AI features (Eddy) bundled or addable by plan. Confirm project counts, AI search limits, localization, and SSO in sales. As of September 2026, request a quote and compare against Guru-style workplace knowledge and Bloomfire-style internal hubs.
The Field at a Glance
How Document360 compares with other Enterprise AI knowledge vendors we reviewed, by Overall Score and relative typical engagement cost.
Document360 scores 7.6 beside Guru (7.5), under Hebbia (7.7), and ahead of Bloomfire (6.4). Relative cost lands mid-low versus quote-led diligence platforms.
Compared with …
- Document360 vs Hebbia 7.7/7.6
- Document360 vs Guru 7.6/7.5
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Public help centers / product docs | Strong | Core Document360 lane. |
| AI search and drafting in docs | Strong | Eddy AI handles search, writing and translation in Document360. |
| Internal manuals and SOPs | Strong | Common twin use. |
| Governed Slack knowledge cards | Mixed | Guru builds governed knowledge cards for Slack and the browser. |
| External diligence Matrix analysis | Weak | Hebbia targets analysis across deal rooms and research packs. |
| Meeting transcription bots | Poor | Document360 does not transcribe meetings. |
Review Excerpts
Representative buyer views drawn from public information about Document360. Paid reviews and pay-for-play sites were excluded.
“Versioned articles, review workflows and a clean public portal made it easy to move off a wiki.”
Representative buyer view
“We publish API docs and customer help articles from one project with role-based editing.”
Representative buyer view
“Teams that want an internal-only answer engine will look at knowledge tools built for that.”
Representative buyer view
Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.
Based on: Document360’s website
Company Facts
- Founded
- 2017 (CB Insights)
- Headquarters
- London, England, United Kingdom (CB Insights)
- Key investors
- Zendesk Ventures (CB Insights)
- Parent company
- Kovai.co (Kovai.co)
- Website
- document360.com
Key Leadership
Saravana Kumar
Founder and CEO
Methodology
This page is an independent evaluation of Document360 for buyers comparing options in Enterprise AI knowledge. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Document360 did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for Enterprise AI knowledge)
- Structured docs / help center
- AI search & authoring (Eddy)
- Versioning & publishing workflow
- Workplace card / Slack embed depth
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the use-case matrix above.
Scope
Document360 is graded here as Enterprise AI knowledge. Criteria scores can move as more review volume and product checks are added.