Other AI research tools answer one question and discard the work. EvidX keeps every finding as a structured, citable record. The same records power your tables, your draft sections, and your knowledge graph. One extraction, every view.

Claude is excellent for chat and code. The thing it does not do: keep structured findings across all your projects, ground them to canonical entity identifiers, or aggregate hundreds of papers into a table without re-reading. EvidX is built around a persistent evidence database, so the work you do reading one paper compounds into your next project.

It should not. EvidX is an evidence base, not a summarizer. You still read the papers that matter. EvidX makes sure the work you did reading them stays queryable later, ready to feed your next table, draft, or comparison.

Yes. EvidX generates a custom vocabulary from your publications, so the entities and relationships match your field. Built-in vocabularies cover biology, medicine, and a few adjacent areas today.

Every finding stores the verbatim passage and the page number. Click a citation in any table, plot, or draft, and the PDF viewer scrolls to the exact line, highlighted. No paraphrasing layer between the answer and the source.

We enforce every finding at extraction time. If a finding cannot be traced to a verbatim quote in the source, we refuse to extract rather than risk your evidence base. The check runs server-side, not as a prompt rule the model can ignore.

Only you. Each project is isolated to your account.

Your data and files are protected. When you delete, we permanently remove them. No trash, no recovery, delete means delete.

Single-user projects today. Lab workspaces with role-based access, single sign-on, on-prem deployment, and a data processing agreement are on the roadmap.

Zotero import is in development. PDF upload works today. Bibliography sync lands during the pilot.