Smartling
Smartling · Translation · US · www.smartling.com
services/smartling.yamlVendor data-handling terms
The statement covers Smartling's own models; customer contracts may narrow it.
“Smartling personnel in its data science, engineering, client success management, and artificial intelligence deployment teams, which are under written confidentiality and non-disclosure agreement, will have access to customers' data for the sole purpose of validation, modeling, and training. / Models) for translation, translation optimization, quality estimation or model fine-tuning will not be accessible to such third party model providers and will not be used by such third party model providers to train their foundational models.”
Retention of translation content is governed by customer agreements and the platform SLAs, not the public policy.
“We may retain certain information for legitimate business purposes or as required by law.”
“Smartling has certified to the United States Department of Commerce that it adheres to the EU-US Data Privacy Framework Principles for the purpose of processing of personal data received from the European Union in reliance on the EU-U.S.”
Domains and endpoints
observed means seen in Unseen deployments; vendor-documented means listed by the vendor. Vendors do not publish complete lists.
| Host | Role | Source |
|---|---|---|
| smartling.com | app | observed |
Assessment
Reasoning: An enterprise translation management platform. It blocks third-party LLM providers from training on customer content but its own teams may use translation memories and performance data for modelling and training. Sold under contract; the public policy is a floor, not the ceiling.
Flags: Vendor staff may use customer data for modelling and training · US processing · Assessed 2026-09-16. The assessment is Unseen's; the terms above are the vendor's.
Changelog
- 2026-09-16Documented. Training and transfer terms verified against the Smartling privacy policy.
- 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.