How does Binate Journal think about privacy?
Binate Journal is built around personal reflection, so the product is designed with private, account-scoped journal data as a core expectation.
What data does the app experience depend on?
The app stores journal entries under a user account and uses those entries to create related lessons, memories, and relationship signals when an entry is eligible for AI processing. Those derived surfaces are intended to stay connected to the user's own writing, so the app can show where an insight came from instead of treating it as generic advice.
What privacy controls exist in the app direction?
The product scope includes a Privacy & Security area with controls such as biometric unlock, lock-on-background, app-switcher preview hiding, analytics sharing preferences, and personalized insight settings.
- Biometric unlock and lock-on-background are part of the current product scope.
- App-switcher preview hiding is included to reduce accidental exposure.
- Analytics and personalized insight preferences are treated as explicit settings.
What should beta users know?
The marketing site is a pre-launch beta surface. The public privacy policy for the iOS app is available as a dedicated page and should be kept aligned with App Store Connect privacy details before each submission.
How does AI processing fit the privacy model?
Binate's AI layer is framed around distilling entries that users have already written. The product direction does not claim that every entry is processed or that short entries always generate insights. Eligible entries can produce lessons, memories, and relationship mentions, while entries without enough context can remain simple journal records.
Where can I ask privacy questions?
For privacy questions, account deletion, or data requests, contact Binate Journal support. The public policy explains the categories of information the app may collect, how that information is used, and the choices available to users.