Skip to main content
Skip to main content
SeaOtter
How it worksMethodologyEnterpriseRisk officersPricingDownload app

Privacy Policy

Last updated: April 23, 2026

1. What this page covers

SeaOtter currently has three relevant data surfaces: the web benchmark and pilot intake, the desktop MVP's device-local observer, and opt-in shadow observation for pilot or research workflows.

2. What we collect today

  • Web benchmark and pilot intake: the answers you submit, the computed result, contact details, company details you provide, and basic product analytics.
  • Desktop MVP local data: the current MVP's observed activity, recommendation history, observation state, and local export artifacts stored by the desktop app on your device.
  • Opt-in shadow observation: tenant-scoped usage scope, consent timestamp, retention metadata, and connector-derived workflow signals/provenance for pilot or research workflows.

3. How we use your data

  • Compute and deliver benchmark or pilot results.
  • Show device-local workflow observations and recommendations inside the desktop MVP.
  • Improve the benchmark methodology and product.
  • Reach out about your result if you request it.
  • Run opt-in shadow observation and research review flows only when a tenant has explicitly configured a usage scope for that path.

4. Training and research use

SeaOtter's baseline model training today is primarily based on synthetic or non-user data. Observed workflow data is not taken from general desktop use by default. In the current implementation, only opt-in shadow observation with an explicit usage scope can materialize into the observed-workflow research queue, and only the training-corpus scope is marked training-eligible. Reviewed samples outside their retention window, or missing audit/provenance controls, are blocked from training planning.

5. Storage and retention

Desktop MVP data is currently stored locally by the app on your device. Shadow observation and benchmark data are stored in SeaOtter systems when those flows are used. For tenant-authenticated observed-data flows, SeaOtter has a retention enforcement control that can delete expired shadow windows, linked shadow benchmark runs, and observed workflow samples. Fully automated retention coverage across every MVP surface is still being implemented. We do not sell personal data.

6. Your controls and rights today

Current controls depend on the surface:

  • Desktop MVP: pause observation, export the current device-local MVP data, and delete that device-local MVP data from within the app.
  • Authenticated observed-data tenants: export or delete the retained shadow / observed-data server records for that tenant when this surface is enabled for the account.
  • Web benchmark or pilot data: request access or deletion by contacting us.
  • To unsubscribe from all communications.

SeaOtter does not yet provide a single self-serve endpoint that exports or deletes every record across benchmark, pilot, shadow, and research systems.

Email privacy@seaotter.ai for any data requests.

7. Contact

Questions about privacy? Email privacy@seaotter.ai

SeaOtter
DownloadJudge benchMethodologyEnterpriseRisk officersPricingHow it works
TermsPrivacy·hello@seaotter.ai

© 2026 SeaOtter. AI workflow operating layer for knowledge workers.