Use Verachi
Data Collection
See what Verachi stores, what connected tools keep, and how AI uses context.
UpdatedMay 13, 2026
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Verachi stores the data it needs to run your workspace, remember decisions, connect source tools, answer grounded questions, and show risks.
What Verachi stores
| Data | Examples |
|---|---|
| Account data | Name, email, role, login status, workspace membership |
| Workspace data | Organizations, teams, members, invites, settings, plan limits |
| Work records | Projects, decisions, comments, links, dependencies, guidelines, risks |
| Uploaded files | File metadata, the stored file, extracted text when supported |
| AI and chat data | Conversations, messages, model settings, token usage, cost estimates |
| Audit and legal records | Activity history, accepted terms, request metadata |
| Notifications | Notification text, read state, delivery state, preferences |
| Contact requests | Contact form details, source page, user agent, hashed IP |
Connected tools
Slack, Microsoft Teams, Jira, and GitHub stay the source of record.
When you mark something for capture, Verachi may read source content to understand it. Verachi then stores:
- a Verachi-written conclusion
- the source link
- the smallest source IDs and routing metadata needed to find the source again
Verachi does not store raw Slack or Teams threads, Jira issue descriptions, GitHub PR or issue bodies, comments, review comments, linked issue bodies, repository contents, or patches for connector captures.
Uploaded files
Uploaded files are different from connector captures.
If you upload a file, Verachi stores the file and its metadata. For supported files, Verachi also stores extracted text so the file can be previewed, searched, linked to records, and used by AI when allowed.
Documents marked restricted are excluded from AI retrieval and prompt assembly.
AI use
AI features use workspace settings and plan controls.
Verachi may send selected workspace context to the configured AI provider when you ask a question, extract decisions, summarize source content, or evaluate risk. AI usage logs store model, token, duration, and estimated cost data.
Analytics and telemetry
If Google Analytics is configured, Verachi collects browser page-view events. Google Analytics does not receive workspace records, uploaded documents, chat messages, or source tool content from the app.
Server telemetry and operational metrics can be enabled for service health, queue health, errors, and performance.
What Verachi does not store
- Raw passwords
- Raw API keys after creation
- Payment card details in the reviewed app code
- Raw connector source content for pointer-only Slack, Teams, Jira, and GitHub captures