Remesh

Remesh · Data analysis · US · www.remesh.ai

Last verified 2026-09-16
Entry services/remesh.yaml
Training on your data (default tier)
Not stated for model training; aggregated, de-identified data used to improve the service
Retention
Kept as long as necessary for legal and business obligations
Data residency
Processed in the United States

Vendor data-handling terms

Training on your data (default tier)
Not stated for model training; aggregated, de-identified data used to improve the service

The policy does not say whether user content is used to train models.

Aggregated, Anonymous, or De-identified Statistical Data : We may collect, create, and use aggregate, anonymous, pseudonymous, or de-identified statistical data (including reports and other information derived from your PII) to improve our Services and to provide Services to the sponsor of the conversation.
checked 2026-09-16
Remesh Privacy Policy
Retention
Kept as long as necessary for legal and business obligations
We will retain and use your PII as long as necessary to comply with our legal and business obligations, provide the Services, resolve disputes, and enforce our agreements.
checked 2026-09-16
Remesh Privacy Policy
Data residency
Processed in the United States
Section 6: We transfer and process PII in the United States
checked 2026-09-16
Remesh Privacy Policy

Domains and endpoints

observed means seen in Unseen deployments; vendor-documented means listed by the vendor. Vendors do not publish complete lists.

HostRoleSource
remesh.aiappobserved

Assessment

Web app: medium

Reasoning: An AI-moderated research and employee-listening platform. Participant responses are processed in the US for the sponsoring organisation; training use is not stated.

Flags: Participant responses · US processing · Assessed 2026-09-16. The assessment is Unseen's; the terms above are the vendor's.

Changelog

  • 2026-09-16Documented. Terms verified against the Remesh Privacy Policy where stated.
  • 2026-09-15Listed from the Unseen catalogue with observed domains.

Corrections

Pull request on GitHub, or the form below. Changes are reviewed and recorded in the changelog.

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