Trust, security & governance

Production controls should be clear and verifiable.

AIAnimation.com is a multi-model AI video production workspace. This page explains the controls and policies around team access, production records, rights evidence, infrastructure and model-provider data handling—without implying certifications or protections that are not stated here.

Last reviewed: 26 August 2026

Role-aware workspaces
Provider-specific AI terms
Rights and production evidence

Workspace governance

Controls around the work, not just the generation button.

AI Animation connects models to projects, people and production context. The controls below are supported by the platform and its documented policies; availability can depend on workspace configuration and plan.

Workspace access

Roles and project-level access

Organisation workspaces support distinct member roles. Where project-access enforcement is configured, members can be limited to all projects or selected projects, with Viewer, Editor or Admin access at project level.

Scope: Workspace owners and authorised administrators can manage access and apply model or feature policies under the organisation’s agreement.

Production records

History, lineage and exportable context

Generation records can preserve prompts, model identifiers, dates, generation IDs, settings snapshots and reference lineage. Studio and Enterprise workspaces can create Shotlist PDF exports with selected record fields.

Scope: These records support review and production handoff; they are not represented here as an immutable compliance audit log.

Rights evidence

Original work, likeness and licensed-IP records

Where the governance workflow is enabled, teams can connect production components, assets and references to rights records for original work, real-person likeness or licensed IP, and attach supporting releases, approvals or licence evidence.

Scope: Uploading evidence does not automatically approve it. Real-person proof may still require administrator review or provider verification.

Customer content & model training

The route matters.

AI Animation does not use User Content to train general-purpose AI models that it owns or operates, or to build public training datasets. That statement is not a blanket promise about every third-party model route.

Check model-route policies

Generally available routes

Provider processing, retention and customer-content training terms vary by model, routing path, plan, workspace policy and contract. A route has a public no-training representation only where the provider-policy table records one; “Not confirmed” does not mean “No.”

Designated Enterprise routes

An Enterprise Order can identify designated image and video routes supplied under provider agreements that prohibit the provider from training on covered User Content. The Order defines the routes, content, retention terms and other protections it covers. Optional routes outside that scope keep their general provider-specific position.

Tailored-model features

If you expressly choose a feature whose purpose is to create or train a private or tailored model, the content you select is used to provide that requested feature and meet related security, support and legal obligations.

Infrastructure & safeguards

Concrete controls in the current architecture.

AWS infrastructure

Amazon Web Services supports the platform’s cloud hosting, authentication, APIs, databases, storage, content delivery, email delivery, security and operational logging.

Authentication and private delivery

Account authentication uses Amazon Cognito. The primary GraphQL API uses user-pool authentication by default, and private-media delivery uses signed CloudFront access with HTTPS redirection.

Protected evidence storage

Governance proof-document storage is configured to block public access, require SSL, use S3-managed server-side encryption and retain object versions.

Risk-based safeguards

The Privacy Policy describes access controls, authentication, encryption in transit, private-media delivery controls, logging, monitoring and provider due diligence as measures applied according to risk.

Security is a shared responsibility.

No internet transmission or storage system is completely secure. Keep account credentials protected and contact AI Animation promptly if you believe an account or data has been compromised.

Storage, retention & deletion

Retention follows the data and the purpose.

Account and workspace data is generally retained while active and for a limited period afterwards where needed. Prompts, uploads, projects and outputs are generally kept to provide the features you use, until you delete them, request account deletion or a shorter feature-specific period expires.

What deletion means

Deleting content removes it from normal account views and starts the active-system deletion process. Historical storage versions, protected backups, security or deletion telemetry, and provider copies may not disappear immediately. Retained copies can remain isolated where required for recovery, security, fraud prevention, disputes or legal obligations.

Provider copies and request records follow the applicable provider agreement, service configuration and legal requirements. An Enterprise Order can define retention terms for the services and routes it covers.

Access, portability or deletion request

Depending on applicable law, you may request access, correction, deletion or a portable copy of eligible personal data. Email hello@aianimation.com. Identity verification may be required to protect the account.

Policies & provider transparency

Read the source policies.

These documents are the controlling public detail for privacy, service terms and the principal providers that may process data. Not every listed provider receives data for every request.

AI Animation Ltd · Company number 15898434

Controlled evaluation

Need to evaluate a specific workflow or model route?

Scope a Studio Pilot around your team, approved model access, project permissions, rights requirements and retention needs.