Scenario AI
Scenario · Image and video · US · www.scenario.com
Last verified 2026-09-16
Entry
services/scenario-ai.yamlTraining on your data (default tier)
Self-serve content may be used to improve Scenario's services and AI; enterprise MSA/DPA customers get a no-training guarantee
Retention
Retained only as long as it serves the collection purpose
Data residency
Processed on AWS in US regions
Vendor data-handling terms
Training on your data (default tier)
Self-serve content may be used to improve Scenario's services and AI; enterprise MSA/DPA customers get a no-training guarantee
The policy does not say whether user content is used to train models.
“Self-serve: you own your work; we may use your content and anonymized insights to improve our Services and AI — never sold, never shared with other customers.”
Retention
Retained only as long as it serves the collection purpose
“We retain personal data in a form that identifies or renders an individual identifiable only for as long as it serves the purpose(s) for which it was collected or subsequently authorized, consistent with applicable law and the DPF Principles.”
Data residency
Processed on AWS in US regions
“Scenario is based in the United States and processes personal data on servers located in the United States (hosted on AWS in US regions).”
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 Vendors do not publish complete lists.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 |
|---|---|---|
| scenario.ai | app | observed |
Assessment
Web app: medium
Reasoning: A generative AI platform for game art. Self-serve content may be used to improve Scenario's AI while enterprise contracts carry a no-training guarantee; data is processed on AWS in the United States.
Flags: Trains on self-serve content · Enterprise no-training option · Assessed 2026-09-16. The assessment is Unseen's; the terms above are the vendor's.
Changelog
- 2026-09-16Documented. Terms verified against the Scenario 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.