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SFW presetSocial-ready
From first model to paid drops, creators are already scaling with BeyondFans.
The full workflow in one place: create the model, generate the content, package the drop, manage the roster, and keep every asset verified.
We don't just say we verify. We do. Each imported model undergoes both manual review and automated checks through a multi-layer moderation system. This process is designed to ensure compliance with platform policies, prevent misuse, and maintain a safe content environment.
Age signals are assessed using AWS Rekognition to identify potential underage risk based on facial attributes.
A secondary analysis is performed using vision-language models to evaluate estimated age and overall scene context.
Images are analyzed to distinguish between synthetic and real individuals, and to flag potential compliance risks related to identity.
Image matching and web signals are used to detect potential links to known individuals or public figures.
Once a model is approved, all subsequent image uploads are automatically verified against the model’s reference identity. Each image undergoes facial similarity analysis against the approved reference: ≥ 90% match: Automatically approved 50–89% match: Flagged for manual review < 50% match: Automatically rejected This process ensures identity consistency and prevents unauthorized or mismatched content from being used.
Create the first model, generate the first asset, and turn the first content drop into a repeatable creator workflow.