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Hebbia vs Document360
Hebbia and Document360 are AI knowledge tools, which store a company's documents and answer questions from them. Our editors read both companies' own sites, then read what support, IT and knowledge managers say about the two tools in public reviews, community boards and chat forums. The table below compares price, limits and features.
| What buyers compare | Hebbia | Document360 |
|---|---|---|
| Price per monthSources 3, 4 | Not published | Quote, built around your setup |
| Integrations and featuresSources 3, 4 | Not published | Eddy AI search and writing, API, SSO and SCIM, PDF and Word import, private hosting |
| Security and deploymentSources 3, 4 | Not published | SOC 2 Type II, ISO 27001 and GDPR. Standard migration included in most quotes |
| Best forSources 1, 2 | Finance, diligence and research teams that need to ask the same questions across large sets of private documents | Product, support, and docs teams that need versioned knowledge bases with AI search and authoring for customers or employees |
List prices in US dollars per month before tax, as published on each vendor's site on October 16, 2026, billed monthly unless the cell says otherwise. "Quote" means the vendor sets the price through its sales team. A green check marks a row where the published data shows a clear edge.
Which one fits
Document360 publishes and searches your own documentation, while Hebbia analyzes large sets of outside documents such as data rooms and filings.
Choose Hebbia if
- You work in finance, diligence or research and need to ask the same questions across hundreds of private documents at once.
- You want answers laid out as a grid you can check, with each answer tied to the document it came from.
- You review data rooms and filings. Hebbia is built for that kind of reading, more than for a company help center.
Choose Document360 if
- You publish a help center, product docs or API docs for customers and need versions, review workflows and analytics.
- You are moving off another tool. Document360 includes standard migration from Confluence, Google Docs, SharePoint or PDFs in most quotes.
- You want AI search and writing help on the same knowledge base. Eddy AI answers questions from your articles and helps authors draft them.
What buyers say
“Document360 is better when you’re publishing maintained KB articles. Hebbia is better when people just need to ask questions across a pile of existing documents.”
achempion · HN · · source
“Hebbia-style doc search is “CMD+F with AI” over the corpus. Document360 is the opposite problem, authoring and organizing what customers read.”
tinyT · HN · · source
“Hebbia handles our diligence, where we ask the same questions across hundreds of documents and check each answer against its source. Document360 is a different job, publishing our own docs, and it does that well.”
Associate, private equity firm
Representative buyer view
Verdict
Hebbia (7.7 out of 10, Recommend) is for finance, diligence and research teams that need to ask the same questions across hundreds of private documents and check each answer against its source. Document360 (7.6 out of 10, Recommend) is for teams that write and publish their own help center or product docs.
Methodology
We read the Hebbia and Document360 pricing pages and product sites on October 16, 2026 and recorded every published price, limit and plan feature. A cell reads "Not published" when the vendor does not state that detail on its site, and rows where neither vendor publishes anything were left out.
Scores, best-fit notes and buyer quotes come from the AIR reviews of each product, which weight practitioner reviews at 40%, hands-on product checks at 35%, pricing at 15% and docs at 10%. Paid reviews and pay-for-play sites are excluded. Quotes marked Representative buyer view are written by AIR to reflect buyer feedback and carry no source link.